The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Human Reasoning and Cognitive Science
Open accessAbstract
A new proposal for integrating the employment of formal and empirical methods in the study of human reasoning. In Human Reasoning and Cognitive Science, Keith Stenning and Michiel van Lambalgen—a cognitive scientist and a logician—argue for the indispensability of modern mathematical logic to the study of human reasoning. Logic and cognition were once closely connected, they write, but were “divorced” in the past century; the psychology of deduction went from being central to the cognitive revolution to being the subject of widespread skepticism about whether human reasoning really happens outside the academy. Stenning and van Lambalgen argue that logic and reasoning have been separated because of a series of unwarranted assumptions about logic. Stenning and van Lambalgen contend that psychology cannot ignore processes of interpretation in which people, wittingly or unwittingly, frame problems for subsequent reasoning. The authors employ a neurally implementable defeasible logic for modeling part of this framing process, and show how it can be used to guide the design of experiments and interpret results. Bradford Books imprint
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
The Evolution of Reciprocal Altruism
Trivers, R. L. (1971) · The Quarterly Review of Biology · doi:10.1086/406755 · Cited by 11,010
Hutchins, E. (1995) · doi:10.7551/mitpress/1881.001.0001 · Cited by 10,801
Does the chimpanzee have a theory of mind?
Premack, D., & Woodruff, G. (1978) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00076512 · Cited by 8,743
The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
Gould, S. J., & Lewontin, R. C. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0086 · Cited by 7,770
Wimmer, H. (1983) · Cognition · doi:10.1016/0010-0277(83)90004-5 · Cited by 6,305
The faculty of language: what is it, who has it, and how did it evolve?
Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002) · Science · doi:10.1126/science.298.5598.1569 · Cited by 5,189
Chase, W. G., & Simon, H. A. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90004-2 · Cited by 4,479 · cited 1×
“and problem solving in turn has been most extensively studied in the guise of expertise – what is the difference between expert and novice problem solving[28].”
From Neuropsychology to Mental Structure
Shallice, T. (1988) · doi:10.1017/cbo9780511526817 · Cited by 4,072
Model of autism: increased ratio of excitation/inhibition in key neural systems
Rubenstein, J. L. R., & Merzenich, M. M. (2003) · Genes, Brain and Behavior · doi:10.1034/j.1601-183x.2003.00037.x · Cited by 2,768
Excitatory actions of gaba during development: the nature of the nurture
Ben-Ari, Y. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn920 · Cited by 2,448
Neuroglial activation and neuroinflammation in the brain of patients with autism
Vargas, D. L., Nascimbene, C., Krishnan, C., Zimmerman, A. W., & Pardo, C. A. (2005) · Annals of Neurology · doi:10.1002/ana.20315 · Cited by 2,149
Circumscription—A form of non-monotonic reasoning
McCarthy, J. (1980) · Artificial Intelligence · doi:10.1016/0004-3702(80)90011-9 · Cited by 2,017
Social semantics: altruism, cooperation, mutualism, strong reciprocity and group selection.
WEST, S. A., GRIFFIN, A. S., & GARDNER, A. (2007) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2006.01258.x · Cited by 1,889
Three-year-olds’ difficulty with false belief: The case for a conceptual deficit
Perner, J., Leekam, S. R., & Wimmer, H. (1987) · British Journal of Developmental Psychology · doi:10.1111/j.2044-835x.1987.tb01048.x · Cited by 1,550
Cheng, P. W., & Holyoak, K. J. (1985) · Cognitive Psychology · doi:10.1016/0010-0285(85)90014-3 · Cited by 1,463
New roles for astrocytes: redefining the functional architecture of the brain.
Nedergaard, M., Ransom, B., & Goldman, S. A. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.08.008 · Cited by 1,334
An RNA gene expressed during cortical development evolved rapidly in humans
Pollard, K. S., Salama, S. R., Lambert, N., Lambot, M.-A., Coppens, S., Pedersen, J. S., Katzman, S., King, B., Onodera, C., Siepel, A., et al. (2006) · Nature · doi:10.1038/nature05113 · Cited by 1,005
Time to give up on a single explanation for autism
Happé, F., Ronald, A., & Plomin, R. (2006) · Nature Neuroscience · doi:10.1038/nn1770 · Cited by 987
Courchesne, E., & Pierce, K. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.001 · Cited by 968
Theory of mind and rule-based reasoning
Frye, D., Zelazo, P. D., & Palfai, T. (1995) · Cognitive Development · doi:10.1016/0885-2014(95)90024-1 · Cited by 923
Sentence memory: A constructive versus interpretive approach
Bransford, J. D., Barclay, J. R., & Franks, J. J. (1972) · Cognitive Psychology · doi:10.1016/0010-0285(72)90003-5 · Cited by 908
Cerebral Lobes in Autism: Early Hyperplasia and Abnormal Age Effects
Carper, R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1099 · Cited by 566
Synaptic development of the cerebral cortex: implications for learning, memory and mental illness
(1994) · Progress in Brain Research · doi:10.1016/s0079-6123(08)60543-9 · Cited by 565
Beyond Phrenology: What Can Neuroimaging Tell Us About Distributed Circuitry?
Friston, K. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142846 · Cited by 465
Lehman, D. R., Lempert, R. O., & Nisbett, R. E. (1988) · American Psychologist · doi:10.1037/0003-066x.43.6.431 · Cited by 341
The Probability Heuristics Model of Syllogistic Reasoning
Chater, N., & Oaksford, M. (1999) · Cognitive Psychology · doi:10.1006/cogp.1998.0696 · Cited by 324
Schizophrenia: a common disease caused by multiple rare alleles
McClellan, J. M., Susser, E., & King, M.-C. (2007) · British Journal of Psychiatry · doi:10.1192/bjp.bp.106.025585 · Cited by 296
A mixed epigenetic/genetic model for oligogenic inheritance of autism with a limited role for UBE3A
Jiang, Y., Sahoo, T., Michaelis, R. C., Bercovich, D., Bressler, J., Kashork, C. D., Liu, Q., Shaffer, L. G., Schroer, R. J., Stockton, D. W., et al. (2004) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.30297 · Cited by 159
Primate brain evolution : genetic and functional considerations
(1996) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1996.0103 · Cited by 137
Deglin, V. L., & Kinsbourne, M. (1996) · Brain and Cognition · doi:10.1006/brcg.1996.0048 · Cited by 71
Cited by
How we know our own minds: The relationship between mindreading and metacognition
Carruthers, P. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09000545 · Cited by 610
Faith and Fate: Limits of Transformers on Compositionality
Dziri, N., Lu, X., Sclar, M., Li, X. (., Jiang, L., Lin, B. Y., Welleck, S., West, P., Bhagavatula, C., Bras, R. L., et al. (2023) · Advances in Neural Information Processing Systems 36 · doi:10.52202/075280-3081 · Cited by 335
“This contrasts with the systematic multi-step reasoning approach that learns to apply underlying computational rules required for building correct answers [53, 31, 23].”
BackgroundJohnson-Laird, P. N. (2010) · Psychologica Belgica · doi:10.5334/pb-50-3-4-193 · Cited by 82
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
Chen, Z., Zhou, Q., Shen, Y., Hong, Y., Sun, Z., Gutfreund, D., & Gan, C. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i2.27888 · Cited by 48
Logic-Based Explainable and Incremental Machine Learning
Gupta, G., Wang, H., Basu, K., Shakerin, F., Salazar, E., Varanasi, S. C., Padalkar, P., & Dasgupta, S. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-35254-6_28 · Cited by 4
Metadata
- Authors
- Stenning, K., & van Lambalgen, M.
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 2008-08-01
- OpenAlex
- W1595235134
- Cited by
- 437
- References
- 33
- FWCI
- 10.89
- Type
- book
- Language
- en
- Open access
- green
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.
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.