How does cognition evolve? Phylogenetic comparative psychology
Open accessAbstract
Now more than ever animal studies have the potential to test hypotheses regarding how cognition evolves. Comparative psychologists have developed new techniques to probe the cognitive mechanisms underlying animal behavior, and they have become increasingly skillful at adapting methodologies to test multiple species. Meanwhile, evolutionary biologists have generated quantitative approaches to investigate the phylogenetic distribution and function of phenotypic traits, including cognition. In particular, phylogenetic methods can quantitatively (1) test whether specific cognitive abilities are correlated with life history (e.g., lifespan), morphology (e.g., brain size), or socio-ecological variables (e.g., social system), (2) measure how strongly phylogenetic relatedness predicts the distribution of cognitive skills across species, and (3) estimate the ancestral state of a given cognitive trait using measures of cognitive performance from extant species. Phylogenetic methods can also be used to guide the selection of species comparisons that offer the strongest tests of a priori predictions of cognitive evolutionary hypotheses (i.e., phylogenetic targeting). Here, we explain how an integration of comparative psychology and evolutionary biology will answer a host of questions regarding the phylogenetic distribution and history of cognitive traits, as well as the evolutionary processes that drove their evolution.
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Written from the paper’s full text.
TL;DR
This review argues that comparative psychology should integrate phylogenetic comparative methods to test how cognition evolves, and illustrates these methods with an example inhibitory-control dataset from 12 primate species. It shows how phylogenetic signal, correlated evolution, ancestral-state reconstruction, and phylogenetic targeting can be applied to cognitive traits, while stressing the need for larger collaborative datasets.
Key findings
- The paper outlines four uses of phylogenetic methods for cognition: testing correlated evolution with life-history, morphological, or socio-ecological variables; measuring phylogenetic signal; reconstructing ancestral cognitive states; and phylogenetic targeting of species comparisons.
- In the example inhibitory-control dataset, the maximum-likelihood estimate of phylogenetic signal (λ) was near 0; likelihood ratio tests showed the estimate did not fit better than λ fixed to 0 (likelihood ratio = ~0, P = 1.0) or λ fixed to 1 (likelihood ratio = 2.85, P = 0.09).
- A PGLS analysis found a trend for species with relatively larger brains to have greater inhibitory control (β2 = 66.93, P = 0.06); when λ was fixed to 0, the association was much weaker (β2 = 19.4, P = 0.49).
- Ancestral-state reconstruction estimated the root node at 57% correct on the inhibitory-control task (95% CI 28–86%); the chimpanzee–bonobo ancestor was estimated at 88% (95% CI 83–94%), and the lemur ancestor at 55% (95% CI 36–74%).
- Phylogenetic targeting suggested that adding *Callithrix jacchus* to compare with *Cebus apella* would provide a stronger contrast in relative brain size (summed score 0.43) than adding *Saimiri sciureus* (summed score 0.18).
Methods
- Design: conceptual review and methodological tutorial applying phylogenetic comparative methods to an illustrative cognitive dataset.
- Data/sample: 12 primate species tested on an inhibitory-control task requiring a detour around a transparent barrier to retrieve food; brain-size data from Isler et al. (2008); phylogeny from 10ktrees.
- Analyses: implemented in R with ape and geiger packages; estimated phylogenetic signal (λ), ran PGLS for correlated evolution between relative brain size and inhibitory control, reconstructed ancestral states using maximum likelihood, and performed phylogenetic targeting.
Limitations
- The paper states that the example dataset is relatively large by comparative psychology standards but small by comparative biology standards, so low statistical power may explain the lack of phylogenetic signal; many methods to detect phylogenetic signal perform poorly with fewer than 20 species.
- The paper states that the lemur procedure differed from that used with monkeys and apes, and the two tasks were combined strictly for illustrative purposes; the root-node confidence interval was wide and warns against strong conclusions about the root species.
- The paper also notes broader limitations: no single cognitive task can be applied without bias across taxa, contextual variables may affect results, and ceiling/floor effects or large intraspecific variation can obscure meaningful species differences.
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Integrity signals
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Cites
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Claims the paper makes
0 of 62 cited sources checked · 0 supported · 0 flagged
- Findingown data
The reconstructed score at the root node of the phylogeny is 57% correct on the cognitive task with a 95% confidence interval from 28 to 86% correct.
“The reconstructed score at the root node of the phylogeny is 57% correct on the cognitive task with a 95% confidence interval from 28 to 86% correct.”
Quote in the paperNot a substantial claim - Findingown data
The reconstructed value for the last common ancestor of chimpanzees and bonobos is 88% with a confidence interval of 83-94%.
“the reconstructed value for the last common ancestor of chimpanzees and bonobos is 88% with a confidence interval of 83–94%”
Quote in the paperNot a substantial claim - Findingown data
The reconstructed value for the last common ancestor of lemurs is 55% with a confidence interval of 36-74%.
“the reconstructed value for the last common ancestor of lemurs is 55% with a confidence interval of 36–74%”
Quote in the paperNot a substantial claim - Findingown data
With λ fixed to 0, the association between brain size and inhibitory control was much weaker (β2 = 19.4, P = 0.49).
“This analysis produced a much weaker association between brain size and inhibitory control (β2 = 19.4, P = 0.49).”
Quote in the paperSubstantial claim - Findingown data
The confidence interval at the root node in our example encompasses most of the variation in extant species.
“Because the confidence interval at the root node in our example encompasses most of the variation in extant species”
Quote in the paperNot a substantial claim
- Findingown data
The PGLS example analysis shows a trend toward species with relatively larger brains having greater inhibitory control (β2 = 66.93, P = 0.06).
“Our PGLS example analysis shows a trend toward species with relatively larger brains having greater inhibitory control (β2 = 66.93, P = 0.06)”
Quote in the paperNot a substantial claim - Findingown data
The maximum likelihood estimate of λ was 1.02.
“we allowed λ to be estimated at its maximum likelihood value, which was 1.02”
Quote in the paperSubstantial claim - Findingown data
Cebus apella and Saimiri sciureus offer little contrast in relative brain size, reflected in a summed score of 0.18.
“Although Cebus apella and Saimiri sciureus are closely related and both accessible for cognitive research, they offer little contrast in relative brain size and consequently little power to test the hypothesis that large relative brain size is associated with better performance on the inhibitory control task.”
- Also stated in: § Phylogenetic targeting · plain
“The weakness of this contrast is reflected in the summed score for this pairing (0.18).”
Quote in the paperSubstantial claim - Also stated in: § Phylogenetic targeting · plain
- Findingreasoning
Callithrix jacchus offers a far superior contrast in brain size compared to Saimiri sciureus for comparison to Cebus apella, reflected in a summed score of 0.43.
“phylogenetic targeting indicates that Callithrix jacchus—another species readily available for study—offers a far superior contrast in brain size as reflected by the much higher summed score (0.43).”
- Also stated in: § Phylogenetic targeting · plain
“If the researcher wants to add a single New World primate for comparison to Cebus apella, then Callithrix jacchus provides more statistical power than Saimiri sciureus.”
Quote in the paperSubstantial claim - Also stated in: § Phylogenetic targeting · plain
- Findingown data
Phylogenetic targeting identified eight paired comparisons that maximize contrasts in brain size while maintaining phylogenetic independence.
“we used phylogenetic targeting to identify eight paired comparisons that would maximize contrasts in brain size (measured as residual endocranial volume, or ECV) while maintaining phylogenetic (and thus statistical) independence.”
Quote in the paperSubstantial claim- Rests on an assumption: A comparative approach to cognition requires building large datasets across a diverse range of species.
- Rests on an assumption: It is prohibitive to collect data on all possible species in a large group of organisms such as primates given finite resources and time.
- Premisecitation
Analyses of anatomical proxies for cognition (e.g., brain size) rely on the assumption that cognition is a one-dimensional, general-purpose mechanism that varies only quantitatively.
“Although analyses of anatomical proxies for cognition (e.g., brain size) allow researchers to analyze large comparative datasets, they rely on the assumption that cognition is a one-dimensional, general-purpose mechanism that varies only quantitatively (Healy and Rowe 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Healy and Rowe 2007 source
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- Premisenone given
Phylogenetic methods can quantitatively test whether specific cognitive abilities are correlated with life history, morphology, or socio-ecological variables.
“In particular, phylogenetic methods can quantitatively (1) test whether specific cognitive abilities are correlated with life history (e.g., lifespan), morphology (e.g., brain size), or socio-ecological variables (e.g., social system)”
Quote in the paperNot a substantial claim - Premisecitation
Comparisons on actual cognitive tests of species that live in social systems of differing social complexity offer the strongest test of the social intelligence hypothesis because they provide a direct comparison of species' cognition in a specific domain.
“Comparisons on actual cognitive tests of species that live in social systems of differing social complexity offer the strongest test of the social intelligence hypothesis because they provide a direct comparison of species’ cognition in a specific domain (e.g., Bond et al. 2003; MacLean et al. 2008).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Reviews by Tomasello and Call (1997) and Deaner et al. (2006) relied on indirect comparisons because few studies existed that directly compared monkey and ape species on the same tasks.
“Although these reviews synthesized tremendous amounts of research and suggested important hypotheses to test, they relied on indirect comparisons simply because few studies existed that directly compared monkey and ape species on the same tasks (e.g., Amici et al. 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Amici et al. 2010 source
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- Interpretationcitation
The majority of cognitive traits likely evolve along more subtle dimensions and will not cleanly map onto major lineages of a phylogeny.
“Although this example may indicate a qualitative cognitive transition between two clades, the majority of cognitive traits likely evolve along more subtle dimensions and will not cleanly map onto major lineages of a phylogeny.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Tomasello and Call 1997 source
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- cites Shettleworth 2010
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- Premisereasoning
Researchers have primarily tested the predictions of the social intelligence hypothesis with larger-scale comparative analyses in which an anatomical proxy for cognitive ability (e.g., relative brain size) is related to a social feature.
“Consequently, researchers have primarily tested the predictions of the social intelligence hypothesis with larger-scale comparative analyses in which an anatomical proxy for cognitive ability (e.g., relative brain size) is related to a social feature (e.g., Barton 1996; Lefebvre et al. 1997; Dunbar 1998a; Reader and Laland 2002; Isler and van Schaik 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Barton 1996
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- cites Lefebvre et al. 1997 source
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- cites Dunbar 1998a
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- Premisecitation
Because closely related species share much of their evolutionary history, we typically expect that they resemble one another morphologically more so than distantly related species.
“Because closely related species share much of their evolutionary history, we typically expect that they resemble one another morphologically (e.g., body mass) more so than distantly related species (Harvey and Pagel 1991).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Harvey and Pagel 1991
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- Interpretationreasoning
Actual comparisons of problem-solving behavior are essential for testing hypotheses regarding cognitive evolution.
“Thus, actual comparisons of problem-solving behavior are essential for testing hypotheses regarding cognitive evolution (Tomasello and Call 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tomasello and Call 2008 source
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- Interpretationown data
There is a possible functional link between relative brain size and inhibitory control.
“indicating a possible functional link between these traits”
Quote in the paperSubstantial claim - Interpretationown data
The wide confidence interval at the root node warns against drawing strong conclusions about the species at the root of the phylogeny.
“it warns against drawing strong conclusions about the species at the root of the phylogeny”
Quote in the paperNot a substantial claim - Premisecitation
Many methods to detect phylogenetic signal perform poorly with datasets of less than 20 species.
“Indeed, many methods to detect phylogenetic signal perform poorly with datasets of less than 20 species (Freckleton et al. 2002).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Freckleton et al. 2002 source
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- Premisereasoning
Tests for correlated evolution allow us to assess whether associations between traits exist while controlling for the sharing of traits through common descent.
“Tests for correlated evolution allow us to assess whether these associations exist while controlling for the sharing of traits through common descent.”
Quote in the paperSubstantial claim - Interpretationown data
It is likely that the last common ancestor of apes would have performed better on this task than the ancestor of lemurs.
“Thus, it is likely that the last common ancestor of apes would have performed better on this task than the ancestor of lemurs”
Quote in the paperNot a substantial claim - Interpretationown data
Related species show similar deviations in inhibitory control relative to the expected value based on relative brain size.
“therefore indicates that related species show similar deviations in inhibitory control relative to the expected value based on relative brain size”
Quote in the paperSubstantial claim - Interpretationcitation
If two traits are functionally linked and one trait changes, we expect selection for changes in the relevant cognitive trait.
“If two traits are functionally linked (e.g., food storing behavior and spatial memory; Shettleworth 1990) and one trait changes (e.g., increased dependence on stored food), we expect selection for changes in the relevant cognitive trait”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
Phylogenetic targeting accounts for phylogeny and potential confounding variables, offering a powerful and principled statistical approach for building comprehensive databases needed to test cognitive evolutionary hypotheses.
“Because phylogenetic targeting accounts for phylogeny and potential confounding variables, it offers a powerful and principled statistical approach for building the comprehensive databases needed to test cognitive evolutionary hypotheses.”
Quote in the paperSubstantial claim- Rests on an assumption: A comparative approach to cognition requires building large datasets across a diverse range of species.
- Rests on an assumption: It is prohibitive to collect data on all possible species in a large group of organisms such as primates given finite resources and time.
- Interpretationreasoning
In comparative research, coordination of multiple research groups is required to compile data across a large number of species.
“In the context of comparative research, this means that the coordination of multiple research groups is required to compile data across a large number of species.”
Quote in the paperSubstantial claim- Rests on an assumption: A comparative approach to cognition requires building large datasets across a diverse range of species.
- Interpretationreasoning
The same null results provide valuable information about inter-specific cognitive variation when considered in parallel with data from other species that performed better on the same task.
“However, the same results provide valuable information about inter-specific cognitive variation when considered in parallel with data from other species that performed better on the same task.”
Quote in the paperSubstantial claim- Rests on an assumption: Convincing null results frequently remain unpublished and are often considered uninteresting or difficult to interpret when considered in isolation.
- Interpretationcitation
At least in the case of rodents, subtle differences between laboratories may lead to results with low external validity.
“Therefore, at least in the case of rodents, subtle differences between laboratories may lead to results with low external validity.”
Quote in the paperSubstantial claim - Premisecitation
In many cases, domains of cognition rather than performance on single tasks are most interesting for comparative analysis.
“in many cases, it is domains of cognition rather than performance on single tasks that is most interesting for comparative analysis (e.g., Herrmann et al. 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Herrmann et al. 2007 source
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- Premisecitation
There is no single method that can be applied without bias across taxa.
“Undoubtedly, there is no single method that can be applied without bias across taxa (Bitterman 1975; Savage and Snowdon 1989).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisenone given
Closely related species tend to provide a statistically powerful comparison because on average they introduce the fewest confounding variables.
“As a general rule, closely related species tend to provide a statistically powerful comparison, because on average, they introduce the fewest confounding variables.”
Quote in the paperNot a substantial claim - Premisecitation
Variation in the underlying cognitive abilities may be obscured due to ceiling or floor effects in certain species.
“variation in the underlying cognitive abilities may be obscured due to ceiling or floor effects in certain species (Shettleworth 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shettleworth 2010
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- Premisecitation
The ability to assess confidence in ancestral reconstructions is an important advantage of model-based reconstruction methods such as maximum likelihood over methods like parsimony which simply generate a point estimate.
“the ability to assess confidence in such reconstructions is an important advantage of model-based reconstruction methods, such as maximum likelihood, over methods like parsimony which simply generate a point estimate (Losos 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Losos 1999 source
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- Premisecitation
Several cross-laboratory studies of inbred mouse behavior have produced significantly different results across laboratories despite rigorous standardization of husbandry conditions, apparatus, and testing protocols.
“Several cross-laboratory studies of inbred mouse behavior have produced significantly different results across laboratories despite rigorous standardization of the husbandry conditions, apparatus, and testing protocols (Crabbe et al. 1999; Lewejohann et al. 2006; Richter et al. 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked
- May combine two claims. 28
- Classified as probably not a substantial claim. 20
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Findingown dataIn our example dataset, the maximum likelihood estimate of λ for the cognitive data was near to 0, indicating that more closely related species do not have more similar trait values.
“In our example dataset, the maximum likelihood estimate of λ for the cognitive data was near to 0, indicating that more closely related species do not have more similar trait values.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLikelihood ratio tests reveal that the maximum likelihood estimate for λ does not provide a better fit to the cognitive data than a model in which λ is fixed to 0 (likelihood ratio = ~0, P = 1.0) or 1 (likelihood ratio = 2.85, P = 0.09).
“These tests reveal that the maximum likelihood estimate for λ does not provide a better fit to the cognitive data than a model in which λ is fixed to 0 (likelihood ratio = ~0, P = 1.0) or 1 (likelihood ratio = 2.85, P = 0.09).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe initial suggested comparisons from phylogenetic targeting include the pairing of Daubentonia madagascariensis with Ateles geoffroyi.
“the initial suggested comparisons include the odd pairing of the nocturnal, solitary aye–aye (Daubentonia madagascariensis), with the diurnal, fission–fusion spider monkey (Ateles geoffroyi).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWithout recourse to questions of phylogenetic history and function, we cannot understand how or when species evolved to differ cognitively, and we cannot test why certain lineages-including humans-have evolved the cognitive abilities they possess.
“Without recourse to questions of phylogenetic history and function, we cannot understand how or when species evolved to differ cognitively. Moreover, we cannot test why certain lineages—including humans—have evolved the cognitive abilities they possess.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenPhylogenetic methods can estimate the ancestral state of a given cognitive trait using measures of cognitive performance from extant species.
“(3) estimate the ancestral state of a given cognitive trait using measures of cognitive performance from extant species”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningSuch studies have rarely been conducted with large taxonomic samples; more typically, pairs of closely related species are compared, often with different tests used for different pairs of species, so each study provides a single comparison (N = 1) and it is difficult to generalize results across species.
“However, such studies have rarely been conducted with large taxonomic samples; more typically, pairs of closely related species are compared, often with different tests used for different pairs of species. Each study therefore provides a single comparison (N = 1), and it is difficult to generalize results across species.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe procedure used with lemurs differed from that used with monkeys and apes, so data from the two tasks are combined here strictly for illustrative purposes.
“The procedure used with lemurs differed from that used with monkeys and apes so data from the two tasks are combined here strictly for illustrative purposes.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMany behavioral phenotypes also exhibit phylogenetic signal, and the same principle is likely true for cognition.
“Many behavioral phenotypes also exhibit phylogenetic signal (Freckleton et al. 2002; Blomberg et al. 2003; Thierry et al. 2008), and the same principle is likely true for cognition.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Freckleton et al. 2002
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- cites Blomberg et al. 2003
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- cites Thierry et al. 2008
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Premisenone givenPhylogenetic methods can guide the selection of species comparisons that offer the strongest tests of a priori predictions of cognitive evolutionary hypotheses (phylogenetic targeting).
“Phylogenetic methods can also be used to guide the selection of species comparisons that offer the strongest tests of a priori predictions of cognitive evolutionary hypotheses (i.e., phylogenetic targeting).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataMany comparative phylogenetic statistical methods require that branch lengths reflect the amount of time since lineages diverged, and that is true in the phylogeny for species in our dataset.
“Many comparative phylogenetic statistical methods require that branch lengths reflect the amount of time since lineages diverged and that is true in the phylogeny for species in our dataset (Fig. 2; consensus tree downloaded from http://www.10ktrees.fas.harvard.edu).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningA phylogenetic comparative approach allows for analysis of inter-specific variation in cognitive traits and can be used to make inferences about the likely traits of extinct species and to pinpoint when and where important cognitive changes occurred.
“A phylogenetic comparative approach allows for analysis of this inter-specific variation and can be used to make inferences about the likely traits of extinct species. It can also be used to pinpoint when (in time) and where (in phylogeny) important cognitive changes have occurred.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationInhibitory control-the ability to resist a prepotent behavioral response-is central to solving many problems and has been linked to social competence, criminal behavior, health, and economic status in humans.
“Inhibitory control—the ability to resist a prepotent behavioral response—is central to solving many problems (Diamond 1990; Hauser 1999) and has been linked to social competence, criminal behavior, health, and economic status in humans (Mischel et al. 1989; Moffitt et al. 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Diamond 1990
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- cites Hauser 1999
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- cites Mischel et al. 1989 source
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PremisecitationEmpirical evidence suggests that there is no one-to-one relationship between cognitive flexibility and brain size, and cognitive skills across different domains are not necessarily highly correlated with each other either within or across species.
“Empirical evidence suggests that there is no one-to-one relationship between cognitive flexibility and brain size, while cognitive skills across different domains are not necessarily highly correlated with each other either within or across species”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Hare et al. 2002
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- cites Emery and Clayton 2004
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- cites Herrmann et al. 2007
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PremisecitationThe last two of Tinbergen's four questions-phylogeny and function-are intractable without a phylogenetic comparative perspective and have historically been the most challenging for comparative psychologists to pursue.
“However, the last two questions of phylogeny and function, which address how, when, and why a cognitive trait evolved, are intractable without a phylogenetic comparative perspective and have historically been the most challenging for comparative psychologists to pursue.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Tinbergen 1963
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- cites Shettleworth 2010
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Premisenone givenPhylogenetic methods can measure how strongly phylogenetic relatedness predicts the distribution of cognitive skills across species.
“(2) measure how strongly phylogenetic relatedness predicts the distribution of cognitive skills across species”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationA lower amount of phylogenetic signal may reflect high levels of individual differences within a species, substantial error in measurement of the trait, or suggest that independent variables (e.g., social/ecological) have influenced the evolution of the trait relatively independently from phylogeny.
“For example, a lower amount of phylogenetic signal may reflect high levels of individual differences within a species, substantial error in measurement of the trait, or suggest that independent variables (e.g., social/ecological) have influenced the evolution of the trait relatively independently from phylogeny (Blomberg et al. 2003; Ives et al. 2007).”
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- cites Ives et al. 2007
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PremisereasoningIn the latter case, λ estimates whether the deviations from the predicted values in a phylogenetic regression are correlated with species' expected covariance due to shared evolutionary history.
“In the latter case, λ estimates whether the deviations from the predicted values in a phylogenetic regression are correlated with species’ expected covariance due to shared evolutionary history.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn an analysis of 119 traits, Blomberg et al. (2003) showed that anatomical traits (e.g., body mass) tended to exhibit more phylogenetic signal than behavioral traits (e.g., daily path length), corroborating the long-held notion that behavior is more evolutionarily labile than morphology.
“For example, in an analysis of 119 traits, Blomberg et al. (2003) showed that anatomical traits (e.g., body mass) tended to exhibit more phylogenetic signal than behavioral traits (e.g., daily path length), corroborating the long-held notion that behavior is more evolutionarily labile than morphology (i.e., “behavioral drive”, Mayr 1963).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Blomberg et al. 2003
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- cites Mayr 1963
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InterpretationcitationIn analyses of comparative data, weak phylogenetic signal may indicate that strict phylogenetic statistical approaches are not needed or may not be particularly informative (e.g., when reconstructing ancestral states on the tree).
“In analyses of comparative data, weak phylogenetic signal may indicate that strict phylogenetic statistical approaches are not needed (Abouheif 1999) or may not be particularly informative (e.g., when reconstructing ancestral states on the tree).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Abouheif 1999
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PremisecitationNew phylogenetic methods allow researchers to reconstruct values at ancestral nodes in a phylogeny and to place statistical measures of confidence on these reconstructions.
“new phylogenetic methods allow researchers to reconstruct values at the ancestral nodes in a phylogeny and to place statistical measures of confidence on these reconstructions (Schluter et al. 1997; Garland et al. 1999; Pagel et al. 2004).”
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- cites Garland et al. 1999
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- cites Pagel et al. 2004
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- Rests on an assumption: Cognitive performance does not fossilize, so one cannot directly measure the cognitive traits of extinct species.
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Interpretationnone givenPhylogenetic signal may be low for traits that are highly conserved among all taxa in a phylogeny (e.g., vertebrate body plans).
“Similarly, phylogenetic signal may be low for traits that are highly conserved among all taxa in a phylogeny (e.g., vertebrate body plans).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenA common way to investigate adaptive hypotheses involves testing whether two or more traits covary across species.
“A common way to investigate adaptive hypotheses involves testing whether two or more traits covary across species.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAnalyses incorporating phylogenetic information increase statistical power to detect real relationships and reduce the probability of erroneously inferring significance when no association exists.
“analyses incorporating phylogenetic information increase statistical power to detect real relationships, while reducing the probability of erroneously inferring significance when no association exists (Garland et al. 1992; Rohlf 2006).”
- Also stated in: § Correlated evolution · plain
“phylogenetic approaches provide superior statistical performance in terms of reducing both false positives (type I error rates) and false negatives (i.e., increasing statistical power).”
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- cites Rohlf 2006
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PremisecitationRecent methodological advances provide a way to assess phylogenetic signal with quantitative metrics, and even to scale the branches of a phylogenetic tree to reflect the strength of phylogenetic signal.
“Recent methodological advances provide a way to assess phylogenetic signal with quantitative metrics, and even to scale the branches of a phylogenetic tree to reflect the strength of phylogenetic signal (Freckleton et al. 2002; Blomberg et al. 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Freckleton et al. 2002
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- cites Blomberg et al. 2003
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InterpretationreasoningBecause species values in comparative studies may be similar due to descent from a common ancestor, the assumption of independence is commonly violated, and this nonindependence results in phylogenetic signal.
“However, because species values in comparative studies may be similar due to descent from a common ancestor, this assumption is commonly violated, and it is this nonindependence that results in phylogenetic signal.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe parameter λ can estimate phylogenetic signal in the raw data (e.g., species values for a trait) or alternatively in the residual variance from a phylogenetic regression.
“The parameter λ can estimate phylogenetic signal in the raw data (e.g., species values for a trait) or alternatively in the residual variance from a phylogenetic regression (Revell 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Revell 2010
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InterpretationreasoningEstimates of λ that are significantly greater than zero provide evidence for phylogenetic signal in the data.
“Estimates of λ that are significantly greater than zero provide evidence for phylogenetic signal in the data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis finding highlights the importance of generating large comparative cognitive databases in order to test whether particular cognitive traits exhibit phylogenetic signal.
“This finding highlights the importance of generating large comparative cognitive databases in order to test whether particular cognitive traits exhibit phylogenetic signal (i.e., with a larger sample, we would have more confidence in the lack of phylogenetic signal in our example analysis).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe example dataset is a small sample by comparative biology standards, so we cannot rule out the possibility that low statistical power is responsible for the lack of phylogenetic signal observed.
“However, the example dataset, which is relatively large by comparative psychology standards, is a small sample by comparative biology standards. Consequently, we cannot rule out the possibility that low statistical power is responsible for the lack of phylogenetic signal observed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningDetermining the strength of phylogenetic signal in a given dataset facilitates the use of appropriate statistics and guides decisions regarding how to interpret statistical results.
“Therefore, determining the strength of phylogenetic signal in a given dataset facilitates the use of appropriate statistics and guides decisions regarding how to interpret statistical results.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWith a phylogeny, it becomes possible to examine correlated evolutionary change directly along the branches of the tree, for example with the method of independent contrasts, or to statistically control for nonindependence in the underlying data, for example by using phylogenetic generalized least squares (PGLS).
“With a phylogeny, it becomes possible to examine correlated evolutionary change directly along the branches of the tree, for example with the method of independent contrasts (Felsenstein 1985; Garland et al. 1992; Nunn and Barton 2001). Alternatively, one can use the phylogeny to statistically control for nonindependence in the underlying data, for example by using phylogenetic generalized least”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Felsenstein 1985 source
Not checked in the free run.
- cites Garland et al. 1992
Not checked in the free run.
- cites Nunn and Barton 2001
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenAn assumption of standard correlation and regression analyses is that data points (e.g., each species) are statistically independent of one another.
“An assumption of standard correlation and regression analyses is that data points (e.g., each species) are statistically independent of one another.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenIf intraspecific variation is large relative to interspecific variation, species differences should be interpreted with great caution.
“If intraspecific variation is large relative to interspecific variation, species differences should be interpreted with great caution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningThe majority of comparative psychologists study only one or a few species.
“The majority of comparative psychologists study only one or a few species (e.g., due to the cost of establishing and maintaining a conventional laboratory population).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe process of one group adopting and modifying another's methods promotes iterative refinement but prevents broad coordinated comparison because testing methods differ among research groups.
“While this process promotes the iterative refinement of experimental procedures, with each study building on the former’s methods, it prevents broad coordinated comparison because testing methods end up differing among research groups.”
Quote in the paperSubstantial claim- Rests on an assumption: At present, there have been few attempts at this level of collaboration.
May combine two claims.
PremisecitationSpecies will differ in contextual variables such as food motivation, perceptual mechanisms, attention, experimental experience, and housing conditions, all of which may affect behavioral results.
“species will differ in their food motivation, perceptual mechanisms, attention, experimental experience, and housing conditions, all of which may affect behavioral results (Macphail 1987).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Macphail 1987
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmici et al. (2008) compared seven primate species on five different tasks that assess inhibitory control, ranking species within each task and averaging ranks across tasks to approximate relative capacities for inhibitory control.
“Amici et al. (2008) compared seven primate species on five different tasks that assess inhibitory control. Species were ranked within each task, and these ranks were averaged across tasks to approximate relative capacities for inhibitory control.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Amici et al. (2008) source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningPhylogenetic targeting allows users to focus on the variable of interest while controlling for other potential confounds or testing constraints, conferring flexibility and statistical power for designing comparative tests.
“Because phylogenetic targeting allows users to focus on the variable of interest, while simultaneously controlling for other potential confounds or testing constraints, it confers flexibility and statistical power for designing comparative tests.”
Quote in the paperSubstantial claim- Rests on an assumption: A comparative approach to cognition requires building large datasets across a diverse range of species.
- Rests on an assumption: It is prohibitive to collect data on all possible species in a large group of organisms such as primates given finite resources and time.
May combine two claims.
PremisecitationMany other studies of animal cognition have produced highly similar results in different populations, and species differences have been replicated across multiple paradigms and populations.
“many other studies of animal cognition have produced highly similar results in different populations (e.g., mirror self-recognition—reviewed in Povinelli et al. 1993; point following in dogs—reviewed in Miklosi and Soproni 2006; perspective taking in chimpanzees—reviewed in Hare 2011); and species differences have been replicated across multiple paradigms and populations (e.g., spatial cognition”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Povinelli et al. 1993
Not checked in the free run.
- cites Miklosi and Soproni 2006
Not checked in the free run.
- cites Hare 2011
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPhylogenetic targeting can be implemented via a user-friendly web page.
“methods such as “phylogenetic targeting” (Arnold and Nunn 2010), which can be implemented via a user-friendly web page (http://www.phylotargeting.fas.harvard.edu/).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Arnold and Nunn 2010
Not checked in the free run.
May combine two claims.
PremisecitationPhylogenetic comparative methods have been applied to the study of brain evolution but have yet to be applied to systematic investigations of cognitive variation between species as measured through behavioral assays, with few exceptions.
“While phylogenetic comparative methods have been applied to the study of brain evolution (e.g., Barton 1998; Dunbar 1998b; Deaner et al. 2000, 2007; Lindenfors et al. 2007; Isler and van Schaik 2009), with few exceptions (e.g., Amici et al. 2008; Shultz and Dunbar 2010), they have yet to be applied to systematic investigations of cognitive variation between species as measured through behavioral”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Barton 1998
Not checked in the free run.
- cites Amici et al. 2008 source
Not checked in the free run.
- cites Shultz and Dunbar 2010 source
Not checked in the free run.
- Rests on an assumption: Having made progress toward revealing development and causal mechanisms of problem-solving skills in animals, we are now in a position to quantitatively examine the phylogenetic distribution and function of cognitive traits.
May combine two claims.
PremisecitationResearchers have identified links between feeding ecology and performance on memory tests, social dominance hierarchies and transitive reasoning, domestication's effect on cognition, fission-fusion dynamics and inhibitory control, and social relationships and cooperative problem-solving.
“researchers have now identified links between feeding ecology and performance on memory tests (Balda and Kamil 1989; Shettleworth 1990; Clayton and Krebs 1994; Jacobs and Spencer 1994; Macdonald 1997), social dominance hierarchies and transitive reasoning (Bond et al. 2003, 2010; Paz-y-Miño et al. 2004; Grosenick et al. 2007; MacLean et al. 2008), domestication’s effect on cognition (Hare et al.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Balda and Kamil 1989
Not checked in the free run.
- cites Bond et al. 2003
Not checked in the free run.
- cites Hare et al. 2002
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
PremisereasoningTo determine whether these associations reflect robust evolutionary relationships, we need to explore these questions from a phylogenetic comparative approach.
“In order to determine whether these associations reflect robust evolutionary relationships, we will need to explore these questions from a phylogenetic comparative approach.”
Quote in the paperNot a substantial claim- Rests on an assumption: Having made progress toward revealing development and causal mechanisms of problem-solving skills in animals, we are now in a position to quantitatively examine the phylogenetic distribution and function of cognitive traits.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningBy adding phylogenetic techniques to our tool kit, comparative psychologists can build on past success by incorporating tests of correlated trait evolution, phylogenetic signal, and ancestral state reconstruction into our research.
“By adding phylogenetic techniques to our tool kit, comparative psychologists can build on past success by incorporating tests of correlated trait evolution, phylogenetic signal, and ancestral state reconstruction into our research.”
Quote in the paperNot a substantial claim- Rests on an assumption: Having made progress toward revealing development and causal mechanisms of problem-solving skills in animals, we are now in a position to quantitatively examine the phylogenetic distribution and function of cognitive traits.
The authors state this as an assumption.
Trait evolution follows a Brownian motion model, in which the trait performs a random walk along phylogeny branches and expected variance accumulates proportionally to evolutionary time.
“Brownian motion emulates a random walk of the trait along the different branches of the phylogeny, with the expected variance accumulating proportionally to evolutionary time. In this model, the amount of similarity between two species is directly related to the length of their shared evolutionary history.”
The paper relies on this without support.
Cognition evolves and cognitive traits are heritable/evolvable.
“Now more than ever animal studies have the potential to test hypotheses regarding how cognition evolves.”
The paper relies on this without support.
Cognitive abilities can be measured and compared across species using cognitive tasks.
“To help illustrate the utility of these methods, we conducted example analyses on a dataset of 12 primate species tested in a cognitive task measuring inhibitory control”
The paper relies on this without support.
Cognitive performance does not fossilize, so one cannot directly measure the cognitive traits of extinct species.
“Because cognitive performance does not fossilize, one cannot directly measure the cognitive traits of extinct species”
The paper relies on this without support.
A comparative approach to cognition requires building large datasets across a diverse range of species.
“A comparative approach to cognition requires that we build large datasets across a diverse range of species.”
The paper relies on this without support.
It is prohibitive to collect data on all possible species in a large group of organisms such as primates given finite resources and time.
“Given finite resources and time, it is prohibitive to collect data on all possible species in a large group of organisms, such as primates.”
The paper relies on this without support.
Convincing null results frequently remain unpublished and are often considered uninteresting or difficult to interpret when considered in isolation.
“convincing null results (i.e., a species fails to solve a problem that is related to problems it is successful with and is motivated to solve) frequently remain unpublished and are often considered uninteresting or difficult to interpret when considered in isolation.”
The paper relies on this without support.
Many of the most interesting species to study may fall outside the conventional taxonomic focus of comparative psychology.
“Of course, many of the most interesting species to study may fall outside the conventional taxonomic focus of comparative psychology.”
The paper relies on this without support.
Having made progress toward revealing development and causal mechanisms of problem-solving skills in animals, we are now in a position to quantitatively examine the phylogenetic distribution and function of cognitive traits.
“Having made progress toward revealing the development and causal mechanisms of problem-solving skills in animals, we are now in a position to quantitatively examine Tinbergen’s other two questions for biological analysis: the phylogenetic distribution and function of cognitive traits.”
The paper relies on this without support.
At present, there have been few attempts at this level of collaboration.
“At present, there have been few attempts at this level of collaboration”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The lack of cognitive data collected with similar methods across large samples of species precludes meaningful species comparisons that can reveal the major forces shaping cognitive evolution across species, including humans.
“The lack of cognitive data collected with similar methods across large samples of species precludes meaningful species comparisons that can reveal the major forces shaping cognitive evolution across species, including humans (48,70,89,(93)(94)(95)(96)(97)(98).”
From The evolution of self-control. (2014) · cites this paper as [70]
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- Authors
- MacLean, E. L., Matthews, L. J., Hare, B. A., Nunn, C. L., Anderson, R. C., Aureli, F., Brannon, E. M., Call, J., Drea, C. M., Emery, N. J., Haun, D. B. M., Herrmann, E., Jacobs, L. F., Platt, M. L., Rosati, A. G., Sandel, A. A., Schroepfer, K. K., Seed, A. M., Tan, J., van Schaik, C. P., & Wobber, V.
- Affiliations
- Duke University (US)
- Harvard University (US)
- Liverpool John Moores University (GB)
- Max Planck Institute for Evolutionary Anthropology (DE)
- Queen Mary University of London (GB)
- Max Planck Institute for Psycholinguistics (NL)
- University of California, Berkeley (US)
- University of Michigan (US)
- University of St Andrews (GB)
- Corresponding author
- MacLean, Evan L.
- ORCID
- Venue
- Animal Cognition
- Published
- 2011-09-17
- Volume
- 15
- Issue
- 2
- Pages
- 223-238
- ISSN
- 1435-9448 (ISSN-L)
- 1435-9456
- PMC
- PMC3980718
- OpenAlex
- W2071471594
- Semantic Scholar
- 07a60c8c714d069d03103a0ae2ad29b2c1160dcf
- Cited by
- 260
- References
- 195
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 9 · 2023: 7 · 2022: 22 · 2021: 18 · 2020: 23 · 2019: 20 · 2018: 21 · 2017: 17 · 2016: 19 · 2015: 22 · 2014: 20 · 2013: 21 · 2012: 18
- FWCI
- 20.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Animal Cognition (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- DukeSpace (Duke University) (submittedVersion, cc-by-nc-nd)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- National Science Foundation (0923791, NSF-BCS-08-27552, NSF-BCS-10-25172, 1025172, 0905606)
- National Evolutionary Synthesis Center (EF0905606, 0905606)
- National Institute of Mental Health (R01MH086712)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Keywords
- cognitive evolution, phylogenetic comparative analysis, ancestral state estimation, cognitive ability, life history, brain size, social systems, comparative psychology
- MeSH terms
- Animals, Cognition, Biological Evolution, Phylogeny, Primates, Psychology, Comparative, Hominidae, Behavioral Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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