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Integrated Models of Cognitive Systems$
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Wayne D. Gray

Print publication date: 2007

Print ISBN-13: 9780195189193

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195189193.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 26 November 2020

A Rational–Ecological Approach to the Exploration/Exploitation Trade-Offs

A Rational–Ecological Approach to the Exploration/Exploitation Trade-Offs

Bounded Rationality and Suboptimal Performance

(p.165) 12 A Rational–Ecological Approach to the Exploration/Exploitation Trade-Offs
Integrated Models of Cognitive Systems

Wai-Tat Fu

Oxford University Press

This chapter describes a rational-ecological approach to derive the processes underlying the balance between exploration and exploitation of actions as an organism adapts to a new environment. The approach uses a two-step procedure: the general environment is first analyzed to identify its invariant properties; then a set of adaptive mechanisms are proposed that exploit these invariant properties. The underlying assumption of the approach is that cognitive algorithms are adapted to the invariant properties of the general environment. The current proposal is that suboptimal performance can be often explained by the interaction of the cognitive algorithms, information samples, and the specific properties of the new environment so that the obtained samples of the environment may provide a biased representational input to the cognitive algorithms. The current approach is applied to analyze behavior in two information-seeking tasks. It is shown that suboptimal performance is often an emergent property of the dynamic interactions between cognition, information samples, and the characteristics of the environment.

Keywords:   rational-ecological approach, exploration, exploitation, invariant properties, cognitive algorithms, suboptimal performance, information-seeking tasks, cognition, information samples, environment

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