Literature DB >> 22022832

The ecological rationality of state-dependent valuation.

J M McNamara1, P C Trimmer, A I Houston.   

Abstract

Laboratory studies on a range of animals have identified a bias that seems to violate basic principles of rational behavior: a preference is shown for feeding options that previously provided food when reserves were low, even though another option had been found to give the same reward with less delay. The bias presents a challenge to normative models of decision making (which only take account of expected rewards and the state of the animal at the decision time). To understand the behavior, we take a broad ecological perspective and consider how valuation mechanisms evolve when the best action depends upon the environment being faced. We show that in a changing and uncertain environment, state-dependent valuation can be favored by natural selection: Individuals should allow their hunger to affect learning for future decisions. The valuation mechanism that typically evolves produces the kind of behavior seen in standard laboratory tests. By providing an insight into why learning should be affected by the state of an individual, we provide a basis for understanding psychological principles in terms of an animal's ecology.

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Year:  2011        PMID: 22022832     DOI: 10.1037/a0025958

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  11 in total

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7.  Constructive anthropomorphism: a functional evolutionary approach to the study of human-like cognitive mechanisms in animals.

Authors:  Michal Arbilly; Arnon Lotem
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8.  Learning relative values in the striatum induces violations of normative decision making.

Authors:  Tilmann A Klein; Markus Ullsperger; Gerhard Jocham
Journal:  Nat Commun       Date:  2017-06-20       Impact factor: 14.919

9.  Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning.

Authors:  Andrew D Higginson; Tim W Fawcett; Alasdair I Houston; John M McNamara
Journal:  Proc Biol Sci       Date:  2018-01-31       Impact factor: 5.349

10.  Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences.

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Journal:  Nat Commun       Date:  2018-10-29       Impact factor: 14.919

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