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Conditioning for Least Action

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Conditioning for Least Action. Paper presented at the 11th International Conference on Cognitive Modeling, 13-04-2012 - 15-04-2012, Berlin, Germany.


It is well known that, in one form or another, the variational Principle of Least Action (PLA) governs Nature. Although traditionally referred to explain physical phenomena, PLA has also been used to account for biological phenomena and even natural selection. However, its value in studying psychological processes has not been fully explored. In this paper we present a computational model, value-gradient learning, based on Pontryagin’s Minimum Principle (a version of PLA used in optimal theory), that applies to both classical and operant conditioning.

Publication Type: Conference or Workshop Item (Paper)
Publisher Keywords: Value-gradient learning; conditioning; behavior systems; bliss point; optimality; principle of least action
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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