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YOU CAN'T PLAY 20 QUESTIONS WITH NATURE AND WIN: PROJECTIVE COMMENTS ON THE PAPERS OF THIS SYMPOSIUM
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“Understanding brain information processing requires that we build computational models that are capable of performing cognitive tasks.”
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“However, experiments will yield theoretical insight only when employed to test brain-computational models.”
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“Only synthesis in a computer simulation can reveal what the interaction of the proposed component mechanisms actually entails and whether it can account for the cognitive function in question.”
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Citations
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Building and Applying a Human Cognition Model for Visual Analytics
Green, T. M., Ribarsky, W., & Fisher, B. (2009) · Information Visualization · doi:10.1057/ivs.2008.28 · Cited by 122
“It is, as Newell once wrote, as if “science advances by playing twenty questions with nature” [2].”
BackgroundA LIDA cognitive model tutorial
Franklin, S., Madl, T., Strain, S., Faghihi, U., Dong, D., Kugele, S., Snaider, J., Agrawal, P., & Chen, S. (2016) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2016.04.003 · Cited by 88
Temperament and brain networks of attention
Posner, M. I., & Rothbart, M. K. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0254 · Cited by 95
Précis on The Cognitive-Emotional Brain
Pessoa, L. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x14000120 · Cited by 84
“In the end, however irresistible dichotomies are to the human mind (Kelso & Engstrøm 2006; Newell 1973), dichotomizing implies oversimplifying (Keren & Schul 2009; Kruglanski et al. 2006).”
BackgroundThe Measure of All Minds: Evaluating Natural and Artificial Intelligence
Hernández‐Orallo, J. (2017) · Cited by 88
How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships
Greene, A. S., Gao, S., Noble, S., Scheinost, D., & Constable, R. T. (2019) · Cell Reports · doi:10.1016/j.celrep.2020.108066 · Cited by 82
Gierl, M. J. (2007) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2007.00042.x · Cited by 83
Understanding Sentences in Context
Berkum, J. J. A. V. (2008) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2008.00609.x · Cited by 84
“I think this is a mistake, and that playing 20 Questions with nature (asking simple yes-or-no questions to work something out) is as limited as it was several decades ago, when Alan Newell (1973) made his”
BackgroundMetacognition and Special Education: a Review of a View
Wong, B. Y. L. (1986) · The Journal of Special Education · doi:10.1177/002246698602000103 · Cited by 82
“…as in illness diagnosis, proving theorems, and so on, spawned the mind as a computer metaphor, which in turn fed into many theories of cognitive psychology (Lachman, MisterLachman, & Butterfield, 1979; Murray, 1984) and stimulated the development of numerous research paradigms (Newell, 1973).”
BackgroundComputer models solving intelligence test problems: Progress and implications
Hernández‐Orallo, J., Martínez‐Plumed, F., Schmid, U., Siebers, M., & Dowe, D. L. (2015) · Artificial Intelligence · doi:10.1016/j.artint.2015.09.011 · Cited by 83
Fostering Collective Intelligence in Human–AI Collaboration: Laying the Groundwork for COHUMAIN
Gupta, P., Nguyen, T. N., González, C., & Woolley, A. W. (2023) · Topics in Cognitive Science · doi:10.1111/tops.12679 · Cited by 108
“Advocacy for a systems-level approach dates back to Newell (1973), who argued for the value of systems-level research as a vehicle for integration in cognitive science and AI, claiming “You can’t play 20 questions with nature and win.””
From Wide Cognition to Mechanisms: A Silent Revolution
Miłkowski, M., Clowes, R. W., Rucińska, Z., Przegalińska, A., Zawidzki, T. W., Krueger, J. W., Gies, A., McGann, M., Afeltowicz, Ł., Wachowski, W. M., et al. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02393 · Cited by 91
“In other words, the accounts of wide approaches follow the steps of “trying to play 20 questions with nature and win,” as Newell (1973) has put it.”
BackgroundReisenzein, R., & Weber, H. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596544.007 · Cited by 84
Gillespie, A., Glăveanu, V. P., & Laurent, C. D. S. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009031066 · Cited by 120
Queuing Network Modeling of Transcription Typing
Wu, C., & Liu, Y. (2008) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1352782.1352788 · Cited by 78
The powers of noise-fitting: reply to Barth and Paladino
Opfer, J. E., Siegler, R. S., & Young, C. J. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2011.01070.x · Cited by 77
A computational model of fraction arithmetic.
Braithwaite, D. W., Pyke, A. A., & Siegler, R. S. (2017) · Psychological Review · doi:10.1037/rev0000072 · Cited by 87
How to play 20 questions with nature and lose: Reflections on 100 years of brain-training research
Katz, B., Shah, P., & Meyer, D. E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617102114 · Cited by 85
Human Reasoning: Deduction Rules or Mental Models, or Both?
Roberts, M. J. (1993) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640749308401028 · Cited by 75
“Newell (1981) terms this the fixedmethod fallacy “.”
BackgroundInfluentialEye Tracking in the Wild: the Good, the Bad and the Ugly
Lappi, O. (2015) · Journal of Eye Movement Research · doi:10.16910/jemr.8.5.1 · Cited by 73
“…it has long been acknowledged that excessive focus on confined experimental designs, based on strictly controlled but potentially unnatural or uninformative stimuli and responses, can hamper theory development in psychology and cognitive science (Newell, 1973; Neisser, 1976; Broadbent, 1991).”
BackgroundIllusory Essences: A Bias Holding Back Theorizing in Psychological Science
Brick, C., Hood, B. M., Ekroll, V., & de‐Wit, L. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691621991838 · Cited by 72
Atlases of cognition with large-scale human brain mapping
Varoquaux, G. P., Schwartz, Y., Poldrack, R. A., Gauthier, B., Bzdok, D., Poline, J., & Thirion, B. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006565 · Cited by 72
“These are like a collection of anecdotes that the field must assemble into a comprehensive description of the neural basis of mental functions, akin to “playing twenty questions with nature” [1].”
BackgroundAdaptive Virtual Reality Training to Optimize Military Medical Skills Acquisition and Retention
Siu, K., Best, B. J., Kim, J. W., Oleynikov, D., & Ritter, F. E. (2016) · Military Medicine · doi:10.7205/milmed-d-15-00164 · Cited by 73
“While these architectures are labeled “ cognitive, ” cognitive architectures have been developed to provide complete processing models including the entire range of cognitive, perceptual, and psychomotor behavior, 10 and ACT-R in particular is an implementation of a uni fi ed theory of cognition.”
BackgroundTheoretical status of computational cognitive modeling
Sun, R. (2008) · Cognitive Systems Research · doi:10.1016/j.cogsys.2008.07.002 · Cited by 73
“…and processes of the mind cannot be understood purely on the basis of behavioral experiments, with tests that inevitably amount to probing only relatively superficial features of human behavior, which are further obscured by individual/group differences and contextual factors (Newell, 1973).”
Models of central capacity and concurrency
Schweickert, R., & Boggs, G. J. (1984) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(84)90001-4 · Cited by 72
Designing Inclusive Interfaces Through User Modeling and Simulation
Biswas, P., Robinson, P., & Langdon, P. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.565718 · Cited by 79
“Allen D o w n l o a d e d by [ U n i v e r s it y o f C a m b r i dg e ] a t 12 : 26 14 J a nu a r y 2016 Newell (1973) pioneered the idea of unifying existing theories in cognition in his famous paper “You Can’t Play 20 Questions With Nature and Win” at the 1973 Carnegie Symposium.”
Finley, J. R., & Benjamin, A. S. (2011) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0026215 · Cited by 72
Distinguishing experts from novices by the Mind’s Hand and Mind’s Eye
Lindstedt, J. K., & Gray, W. D. (2018) · Cognitive Psychology · doi:10.1016/j.cogpsych.2018.11.003 · Cited by 71
“Newell issued his injunction to the field in his infamous, “You can’t play 20 questions with nature and win” (Newell, 1973), sometimes referred to as “Newell’s complaint.””
InfluentialLappi, O., & Mole, C. D. (2018) · Psychological Bulletin · doi:10.1037/bul0000150 · Cited by 73
Social Cognition: Some Historical and Theoretical Perspectives
Landman, J., & Manis, M. (1983) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60394-9 · Cited by 68
Consciousness and Control Not Identical Twins
Hommel, B. (2007) · Journal of Consciousness Studies · Cited by 67
Predictive models avoid excessive reductionism in cognitive neuroimaging
Varoquaux, G. P., & Poldrack, R. A. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.11.002 · Cited by 69
“However, unifying these psychological processes to model the relation between brain and mind in any given situation remains a great challenge (Newell, 1973•).”
BackgroundEnergetical Issues in Research on Human Information Processing
Hockey, G. R. J., COLES, M. G. H., & Gaillard, A. W. K. (1986) · Springer eBooks · doi:10.1007/978-94-009-4448-0_1 · Cited by 68
What we can (and can’t) infer about implicit bias from debiasing experiments
Byrd, N. (2019) · Synthese · doi:10.1007/s11229-019-02128-6 · Cited by 67
“Indeed, one might be suspicious of binary distinctions in psychology more generally (Newell 1973).”
BackgroundThe possibility of a pluralist cognitive science
Dale, R. A. C. (2008) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/09528130802319078 · Cited by 65
“Newell (1973) famously fretted about an emerging strategy in cognitive science to identify points of dissent, and debate whether one or another perspective on these points is correct.”
BackgroundWhat role do cognitive architectures play in intelligent tutoring systems
Gluck, K. A., & Anderson, J. R. (2001) · Cited by 64
Models and empirical data for the production of referring expressions
Albert Gatt, A., Krahmer, E., van Deemter, K., & van Gompel, R. P. G. (2014) · Language Cognition and Neuroscience · doi:10.1080/23273798.2014.933242 · Cited by 63
“…(2009), it was the development of computational methods in the first half of the twentieth century that gave the cognitive sciences the wherewithal to explore processes at a level of detail that behavioural experiments alone do not permit (cf. Newell, 1973, for an early argument to this effect).”
Theory Construction Methodology: A practical framework for theory formation in psychologyPreprint
Borsboom, D., van der Maas, H. L. J., Dalege, J., Kievit, R., & Haig, B. D. (2020) · doi:10.31234/osf.io/w5tp8 · Cited by 63
Information Processing Approaches to Development
Munakata, Y. (2007) · Wiley eBooks · doi:10.1002/9780470147658.chpsy0210 · Cited by 62
The search for what is fundamental in the development of working memory
Cowan, N., Saults, J. S., & Elliott, E. M. (2002) · Advances in child development and behavior · doi:10.1016/s0065-2407(02)80050-7 · Cited by 63
Ren, Y., & Kraut, R. E. (2013) · Human-Computer Interaction · doi:10.1080/07370024.2013.828565 · Cited by 60
“Therefore, a narrow topical focus, especially early in its history, may reduce the chance of the community reaching self-sustaining critical mass (Allen, 1988; Markus, 1987).”
ResultInfluentialAn Instance Theory of Semantic Memory
Jamieson, R. K., Avery, J. E., Johns, B. T., & Jones, M. N. (2018) · Computational Brain & Behavior · doi:10.1007/s42113-018-0008-2 · Cited by 60
“…effort represents the way that science ought to progress — by developing a general account of memory and its processes in a working computational system to produce a common explanation of behavior rather than a set of lab-specific and domain-specific theories for different behaviors (Newell 1973).”
BackgroundSelf-regulation and control in personality functioning
Carver, C. S., & Scheier, M. F. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596544.027 · Cited by 59
Dynamics of target selection in Multiple Object Tracking (MOT)
Annan, V., & Pylyshyn, Z. W. (2006) · Spatial Vision · doi:10.1163/156856806779194017 · Cited by 59
“…and Luck, 2003) and we suspect that the argument will only be settled in the context of a broader theory that accounts for a greater range of phenomena (as Newell, 1973, pointed out, individual experiments by themselves cannot settle questions such as whether a process is serial or parallel).”
BackgroundInformation Processing and Cognitive Development
Kail, R. V., & Bisanz, J. (1982) · Advances in child development and behavior · doi:10.1016/s0065-2407(08)60357-2 · Cited by 59
Psychometric artificial intelligence
Bringsjord, S. (2011) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813x.2010.502314 · Cited by 58
“In the ‘20 Questions’ paper, Newell (1973) bemoans the fact that, at a symposium gathering together with many of the greatest psychologists at the time, there is nothing whatsoever to indicate that any of their work is an organised, integrated program aimed seriously at uncovering the nature of…”
BackgroundInfluentialPlateaus, Dips, and Leaps: Where to Look for Inventions and Discoveries During Skilled Performance
Gray, W. D., & Lindstedt, J. K. (2016) · Cognitive Science · doi:10.1111/cogs.12412 · Cited by 60
“Our “something borrowed” would be the power law of practice (Anderson, 1982, 1987; Fitts & Posner, 1967; Newell & Rosenbloom, 1981) and the importance of a hierarchy of methods as the key to task performance (Card et al., 1983; Newell, 1973; New-ell & Simon, 1972; Simon, 1962).”
BackgroundThe use of scenarios in human-computer interaction research
Young, R. M., & Barnard, P. J. (1986) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/29933.275645 · Cited by 56
“Redressing the Balance between Scope and Accuracy It has often been noted (e.g. Newell, 1973; Allport, 1975) that research in cognitive psychology is driven heavily by phenomena, and that the questions which are addressed in this way rarely receive definitive answers.”
BackgroundTwo Approaches to the Distinction between Cognition and ‘Mere Association’
Buckner, C. J. (2011) · International Journal of Comparative Psychology · doi:10.46867/ijcp.2011.24.04.06 · Cited by 56
“Many erstwhile proponents of Standard Practice have begun to call for the wholesale rejection of the distinction (Penn & Povinelli 2007; Allen 2006; Heyes & Papineau 2006).”
MethodInfluentialAlmaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J. A., & Watts, D. J. (2022) · doi:10.31234/osf.io/anjkm · Cited by 57
Robust social categorization emerges from learning the identities of very few faces.
Kramer, R. S. S., Young, A. W., Day, M., & Burton, A. M. (2017) · Psychological Review · doi:10.1037/rev0000048 · Cited by 54
Cooper, R. (2007) · Cognitive Science · doi:10.1080/15326900701326592 · Cited by 54
“In a now famous commentary reflecting on a set of papers presented at a symposium on information processing psychology, Newell (1973) expressed serious concern at the direction in which theorizing within cognitive psychology was progressing.”
BackgroundMultiple Book Review ofSpeech perception by ear and eye: A paradigm for psychological inquiry
Massaro, D. W. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00025619 · Cited by 55
Marewski, J. N., & Olsson, H. (2009) · Zeitschrift für Psychologie · doi:10.1027/0044-3409.217.1.49 · Cited by 63
“However, rather than estimating parameters each time a study is run, many researchers use the default values for these parameters (i.e., values set by the ACT-R system) or try to estimate them in separate studies (see Newell, 1973a).”
BackgroundOn the locus of dual-task interference: Is there a bottleneck at the stimulus classification stage?
Johnston, J. C., & McCann, R. S. (2005) · Quarterly Journal of Experimental Psychology · doi:10.1080/02724980543000015 · Cited by 53
“Possible relation to interference in perceptual paradigms Newell (1973) has issued a very general warning against presuming that each distinct paradigm that we study reveals a distinct cognitive problem.”
BackgroundPersonality in cross-cultural perspective
Dragūns, J. G. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596544.035 · Cited by 51
A Computational Model of “Active Vision” for Visual Search in Human–Computer Interaction
Halverson, T., & Hornof, A. J. (2011) · Human-Computer Interaction · doi:10.1080/07370024.2011.625237 · Cited by 51
“For it must truly be a single system in order to provide the integration we seek’’ (Newell, 1973, p. 305).”
COGNITIVE SUPPORT IN SOFTWARE ENGINEERING TOOLS: A DISTRIBUTED COGNITION FRAMEWORK
Walenstein, A. (2002) · Cited by 51
Getting beyond the serial/parallel debate in visual search: a hybrid approach
Moore, C. M., & Wolfe, J. M. (2001) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198505150.003.0009 · Cited by 50
Symbolic Models and Emergent Models: A Review
Weng, J. (2011) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2011.2159113 · Cited by 50
Promoting Positive Transfer of Different Types
Butterfield, E. C., & Nelson, G. D. (1991) · Cognition and Instruction · doi:10.1207/s1532690xci0801_3 · Cited by 50
Brase, G. L. (2013) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2013.11.001 · Cited by 49
Instance theory as a domain-general framework for cognitive psychology
Jamieson, R. K., Johns, B. T., Vokey, J. R., & Jones, M. N. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00025-3 · Cited by 54
A computational account of the production effect: Still playing twenty questions with nature.
Jamieson, R. K., Mewhort, D. J. K., & Hockley, W. E. (2016) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/cep0000081 · Cited by 58
“…concluons que l’effet de la production est conforme a` la théorie actuelle, pour ensuite discuter de notre analyse en relation avec la critique d’Alan Newell (1973) de la psychologie tout en souhaitant que soit réalisée une analyse de principes psychologiques plutôt que de phénomènes de…”
BackgroundMethodInfluentialPseudo‐mechanistic Explanations in Psychology and Cognitive Neuroscience
Hommel, B. (2019) · Topics in Cognitive Science · doi:10.1111/tops.12448 · Cited by 62
“…of psychological explanations, such as the possible cultural dependency of many phenomena (Gergen, 1973), the incompleteness of processing models (Newell, 1973), and the tautological nature of many theories (Wallach & Wallach, 1998), but the lack of mechanistic ambition that I criticize here…”
BackgroundHow much intelligence is there in artificial intelligence? A 2020 update
van der Maas, H. L. J., Snoek, L., & Stevenson, C. E. (2021) · Intelligence · doi:10.1016/j.intell.2021.101548 · Cited by 50
“Newell (1973) argued that if a single AI system could solve a diverse set of intelligence test problems, then we could consider it to be intelligent.”
Charting Pathways to the Development of Expertise
Keating, D. P. (1990) · Educational Psychologist · doi:10.1080/00461520.1990.9653113 · Cited by 48
Wu, C., Tsimhoni, O., & Liu, Y. (2008) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2008.928172 · Cited by 47
“We also conducted a corresponding experimental study to validate the potential effectiveness of this system in reducing driver workload (See Section VII).”
MethodFlach, J. M., Dekker, S. W. A., & Stappers, P. J. (2007) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220601095353 · Cited by 46
“Almost 100 years after James’ warning, Allan Newell (1973) echoed a similar theme in his commentary on empirical research in cognitive psychology titled: ‘You can’t play Twenty Questions with nature and win’.”
BackgroundGame‐XP: Action Games as Experimental Paradigms for Cognitive Science
Gray, W. D. (2017) · Topics in Cognitive Science · doi:10.1111/tops.12260 · Cited by 53
“(Newell, 1973, p. 294) Second Injunction of Psychological Experimentation: Never average over methods.”
BackgroundMethodInfluentialMotz, B. A., Bergner, Y., Brooks, C. A., Gladden, A., Gray, G., Lang, C., Li, W., Marmolejo‐Ramos, F., & Quick, J. (2023) · Journal of Learning Analytics · doi:10.18608/jla.2023.7913 · Cited by 50
The Problem of Coordination and the Pursuit of Structural Constraints in Psychology
Kellen, D., Davis‐Stober, C. P., Dunn, J. C., & Kalish, M. L. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620974771 · Cited by 45
“The consequence of such an activity is an impediment of cumulative theoretic progress, with entire research communities trapped in vicious cycles in which theories never die but simply fade away (see also Newell, 1973).”
Using the ACT-R Cognitive Architecture in Combination With fMRI Data
Borst, J. P., & Anderson, J. R. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2236-9_17 · Cited by 46
“Introduction In 1973, Newell wrote a commentary in which he caricatured the current psychological practice as “playing a game of 20 questions [with nature]” [1].”
BackgroundFoundations of psychological assessment: Implications for cognitive assessment in clinical science.
McFall, R. M., & Townsend, J. T. (1998) · Psychological Assessment · doi:10.1037//1040-3590.10.4.316 · Cited by 45
Universal psychometrics: Measuring cognitive abilities in the machine kingdom
Hernández‐Orallo, J., Dowe, D. L., & Hernández‐Lloreda, M. V. (2013) · Cognitive Systems Research · doi:10.1016/j.cogsys.2013.06.001 · Cited by 45
“The goal of this line of research was set by Newell (1973): “to construct a single program that would take a standard intelligence test”.”
Introduction to This Special issue on Cognitive Architectures and Human-Computer
Gray, W. D., Young, R. M., & Kirschenbaum, S. S. (1997) · Human-Computer Interaction · doi:10.1207/s15327051hci1204_1 · Cited by 44
A step-by-step tutorial on using the cognitive architecture ACT-R in combination with fMRI data
Borst, J. P., & Anderson, J. R. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.05.005 · Cited by 43
Metacognition for a Common Model of Cognition
Kralik, J. D., Lee, J. H., Rosenbloom, P. S., Jackson, P. C., Epstein, S. L., Romero, O. J., Sanz, R., Larue, O., Schmidtke, H. R., Lee, S. W., et al. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.11.046 · Cited by 46
“In 1973, Allen Newell challenged scientists to achieve “a science of [humans] adequate in power and commensurate with [their] complexity” [44].”
BackgroundToward AI research methodology: three case studies in evaluation
Cohen, P. R., & Howe, A. E. (1989) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.31069 · Cited by 44
Friends and Foes of Theory Construction in Psychological Science
Garcia‐Marques, L., & Ferreira, M. B. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611400239 · Cited by 40
“First, to show the contemporary relevance of the problems raised by Newell (1973), we present modern illustrations of the encumbrances faced by dichotomy-based research, we review some attempts to rely on nonempirical criteria to overcome the empirical impediments in empirical theory testing, and…”
BackgroundInfluentialEstes, S. L. (2015) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815592752 · Cited by 42
“In his famous paper, “You Can’t Play 20 Questions With Nature and Win,” Allen Newell (1973) argued that experimental psychology, although adept at answering binary questions about psychological phenomena, was not advancing cognitive psychology toward a unified understanding of the mind.”
BackgroundResearch on bilingualism as discovery science
Navarro‐Torres, C. A., Beatty‐Martínez, A. L., Kroll, J. F., & Green, D. W. (2021) · Brain and Language · doi:10.1016/j.bandl.2021.105014 · Cited by 47
“…continue to dominate much of research on bilingualism, forcing discussions into a binary opposition not unlike those that have recently characterized the consequences of bilingualism (Nichols et al., 2020; c.f. Leivada et al., 2020), as well as psychological research more generally (Newell, 1973).”
BackgroundMcFall, J. P. (2015) · Behavioral Development · doi:10.1037/h0101039 · Cited by 46
“Newell (1973) beseeches psychologists to develop higher-level theories to integrate the numerous advances in cognitive science.”
BackgroundTowards an intelligent database system founded on the SP theory of computing and cognition
Wolff, J. G. (2006) · Data & Knowledge Engineering · doi:10.1016/j.datak.2006.04.003 · Cited by 41
“Like those two systems, the development of the SP system was inspired by the writings of Allen Newell, putting the case for greater breadth and depth in theories of cognition (Newell, 1973, 1990).”
MethodA computational model of attentional learning in a cognitive agent
Faghihi, U., McCall, R. J., & Franklin, S. (2012) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2012.07.003 · Cited by 41
Computational Cognitive Modeling and Linguistic Theory
Brasoveanu, A., & Dotlačil, J. (2020) · Language, cognition and mind · doi:10.1007/978-3-030-31846-8 · Cited by 41
The SP theory of intelligence: an overviewPreprint
Wolff, J. G. (2013) · Cited by 42
Meyer, D. E., Glass, J. M., Mueller, S. T., Seymour, T. L., & Kieras, D. E. (2001) · The European Journal of Cognitive Psychology · doi:10.1080/09541440042000250 · Cited by 39
Understanding strategy selection
Roberts, M. J., & Newton, E. J. (2001) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2000.0434 · Cited by 39
“Many others have also complained about the lack of interest in these issues (e.g. Newell, 1973; Smith, 1989).”
BackgroundThe rhetoric of psychological research and the problem of unification in psychology.
Katzko, M. W. (2002) · American Psychologist · doi:10.1037/0003-066x.57.4.262 · Cited by 39
Explaining Imaginal Inference by Operations in a Propositional Format
Wilton, R. N. (1978) · Perception · doi:10.1068/p070563 · Cited by 39
“If it was propositional, hypotheses about external events could be generated by operating on the propositional data base to produce discrete predictions of the input at short intervals throughout the continuously changing environment (see Newell 1973).”
BackgroundThe Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win!
O’Reilly, R. C., Hazy, T. E., & Herd, S. A. (2012) · Cited by 39
Behaviour versus performance: The veiled commitment of experimental psychology
Gozli, D. G. (2017) · Theory & Psychology · doi:10.1177/0959354317728130 · Cited by 39
“Unfortunately, experimental psychology is currently not grounded in any such system, which means many clusters of empirical findings are isolated fragments with questionable relevance (Allport, 2008; Hommel & Colzato, 2015; Kingstone, Smilek, & Eastwood, 2008; Newell, 1973).”
BackgroundEpisodic Indexing: A Model of Memory for Attention Events
Altmann, E. M., & John, B. E. (1999) · Cognitive Science · doi:10.1016/s0364-0213(99)00002-6 · Cited by 38
Kounios, J. (1996) · Psychonomic Bulletin & Review · doi:10.3758/bf03210752 · Cited by 37
A Developmental Model of Human Learning
Gholson, B., & Beilin, H. (1979) · Advances in child development and behavior · doi:10.1016/s0065-2407(08)60342-0 · Cited by 37
Recognition-based judgments and decisions: Introduction to the special issue (Vol. 1)
Marewski, J. N., POHL, R. F., & Vitouch, O. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500003466 · Cited by 37
“…model (on the advantages of formal modeling, see Fum, Del Missier, & Stocco, 2007; Hintzman, 1991; Lewandowsky, 1993; Marewski & Olsson, 2009; A. Newell, 1973). heuristic does not merely represent a poor substitute for linear weighted-additive models that integrate many variables but closely…”
BackgroundGaze Strategies in Driving–An Ecological Approach
Lappi, O. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.821440 · Cited by 41
“In developing such models, it is critical that the models remain on a solid ecological footing, always with the goal of accounting for “genuine slabs of human behavior” (Newell, 1973 p.303), rather than just performance in a task that may not be ecologically representative.”
BackgroundInformation Compression as a Unifying Principle in Human Learning, Perception, and Cognition
Wolff, J. G. (2019) · Complexity · doi:10.1155/2019/1879746 · Cited by 41
“In his famous essay, “You can’t play 20 questions with nature and win”, Allen Newell [22] writes about the sterility of developing theories in narrow fields and calls for each researcher to focus on “a genuine slab of human behaviour” (p. 303).”
BackgroundIntegration and Reuse in Cognitive Skill Acquisition
Salvucci, D. D. (2013) · Cognitive Science · doi:10.1111/cogs.12032 · Cited by 39
“These limitations notwithstanding, the proposed model’s unified account of skill learning serves as a step toward Newell’s (1990) grand vision of a unified account of cognition and behavior.”
Background
Metadata
- Authors
- Newell, A.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Newell, Allen
- Venue
- Visual Information Processing
- Publisher
- Elsevier
- Published
- 1973
- Pages
- 283-308
- OpenAlex
- W95274681
- Cited by
- 820
- References
- 27
- Citations by year
- 2026: 28 · 2025: 29 · 2024: 35 · 2023: 34 · 2022: 28 · 2021: 33 · 2020: 96 · 2019: 32 · 2018: 37 · 2017: 34 · 2016: 24 · 2015: 20 · 2014: 22 · 2013: 28 · 2012: 34
- FWCI
- 14.70
- Type
- book chapter
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Elsevier eBooks (publishedVersion)
- KiltHub Repository (submittedVersion)
- Figshare (submittedVersion, cc-by)
- KiltHub Repository
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Interdisciplinary Research and Collaboration
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Scientific Research and Philosophical Inquiry
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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.
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