title: Extinction from a rationalist perspective.
abstract: The merging of the computational theory of mind and evolutionary thinking leads to a kind of rationalism, in which enduring truths about the world have become implicit in the computations that enable the brain to cope with the experienced world. The dead reckoning computation, for example, is implemented within the brains of animals as one of the mechanisms that enables them to learn where they are (Gallistel, 1990, 1995). It integrates a velocity signal with respect to a time signal. Thus, the manner in which position and velocity relate to one another in the world is reflected in the manner in which signals representing those variables are processed in the brain. I use principles of information theory and Bayesian inference to derive from other simple principles explanations for: (1) the failure of partial reinforcement to increase reinforcements to acquisition; (2) the partial reinforcement extinction effect; (3) spontaneous recovery; (4) renewal; (5) reinstatement; (6) resurgence (aka facilitated reacquisition). Like the principle underlying dead-reckoning, these principles are grounded in analytic considerations. They are the kind of enduring truths about the world that are likely to have shaped the brain's computations.
authors.affiliation: Rutgers University, 152 Frelinghuysen Rd, Piscataway, NJ 08854-8020, USA. galliste@ruccs.rutgers.edu
authors.forename: C R
authors.initials: CR
authors.lastname: Gallistel
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D003216:Conditioning, Operant; D005108:Extinction, Psychological; D007257:Information Theory; D008960:Models, Psychological; D051381:Rats; D012054:Reinforcement, Psychology