Interdisciplinary collaboration in the field of psychology of reasoning

Authors

DOI:

https://doi.org/10.56294/piii2024291

Keywords:

reasoning, probability, paradigma

Abstract

In the psychology of reasoning there is the emergence of a new paradigm that moves away from the previous project that attempted to understand human reasoning through its alignment with classical logic. The new paradigm has replaced logic with Bayesian probability theory, and phenomena such as argumentation, deduction and induction are modeled within a probabilistic social framework.
This new paradigm appears to be more conducive to interdisciplinary collaboration, as well as more in need of such an approach. The possible link with explanations of rationality in psychology, philosophy, neuroscience and artificial intelligence seems more fruitful than in the previous paradigm. The emphasis on probability theory is linked to the explosion of interest in Bayesian models of perception, motor control, language processing and knowledge representation in psychology. There are also strong connections with Bayesian brain theory. The emphasis on knowledge-rich reasoning embedded in social interactions links to inferential theories of communication. In addition, the focus on cognitive division of labor links to developments in social epistemology and explanations of the collective rationality of simple agents with finance theory, economics, and theories of cumulative cultural evolution.
In this framework, the present paper aims to review the current conditions of cooperation in the field of the psychology of reasoning, as well as its possibilities and limits for the future

References

Oaksford, M. & Chater, N. (2020). New paradigms in the psychology of reasoning. Annual Review of Psychology, 71, 305–330.

Chater N, Oaksford M, eds. 2008. The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford, UK: Oxford Univ. Press

Oaksford M, Chater N. 2017. Causal models and conditional reasoning. In Oxford Handbook of Causal Reasoning, ed. M Waldmann, pp. 327–46. Oxford, UK: Oxford Univ. Press

Gazzo Castañeda, L. E., & Knauff, M. (2016). Defeasible reasoning with legal conditionals. Memory & Cognition, 44, 499–517.

Elqayam S, Evans JStBT. 2011. Subtracting “ought” from “is”: descriptivism versus normativism in the study of human thinking. Behav. Brain Sci. 34:233–48

Oaksford M, Hahn U. 2004. A Bayesian analysis of the argument from ignorance.Can. J. Exp. Psychol. 58:75–85

Oaksford M, Chater N, Larkin J. 2000. Probabilities and polarity biases in conditional inference. J. Exp. Psychol. Learn. Mem. Cogn. 26:883–99

Fodor JA. 1975. The Language of Thought. New York: Thomas Crowell Friston KJ. 2009. The free-energy principle: a rough guide to the brain? Trends Cogn. Sci. 13:293–301

Gazzo Castañeda L., E., & Knauff, M. (2020). Everyday reasoning with unfamiliar conditionals. Thinking & Reasoning. http://dx.doi.org/10.1080/13546783.2020.1823478

Gazzo Castaneda, L., E., Sklarek, B., Dal Mas, D., & Knauff, M. (submitted). The Hybrid Mind: Probabilistic and Deductive Reasoning in the Human Brain.

Mercier H, Sperber D. 2017. The Enigma of Reason. Cambridge, MA: Harvard Univ. Press.

Oaksford M, Hahn U. 2013. Why are we convinced by the ad hominem argument?

Bayesian source reliability and pragma-dialectical discussion rules. In Bayesian Argumentation: The Practical Side of Probability, ed. F Zenker, pp. 39–58. New York: Springer Sci.

Oaksford M, Chater N. 1991. Against logicist cognitive science. Mind Lang. 6:1–38

Downloads

Published

2024-05-08

How to Cite

1.
Blanco JF. Interdisciplinary collaboration in the field of psychology of reasoning. SCT Proceedings in Interdisciplinary Insights and Innovations [Internet]. 2024 May 8 [cited 2024 Nov. 21];2:291. Available from: https://proceedings.ageditor.ar/index.php/piii/article/view/260