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
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A logical calculus of the ideas immanent in nervous activity
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The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
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The faculty of language: what is it, who has it, and how did it evolve?
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“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].”
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
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