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Cognitive SearchEvolution, Algorithms, and the Brain$
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Peter M. Todd, Thomas T. Hills, and Trevor W. Robbins

Print publication date: 2012

Print ISBN-13: 9780262018098

Published to MIT Press Scholarship Online: May 2016

DOI: 10.7551/mitpress/9780262018098.001.0001

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Search Environments, Representation, and Encoding

Search Environments, Representation, and Encoding

Chapter:
(p.317) 20 Search Environments, Representation, and Encoding
Source:
Cognitive Search
Author(s):

Lael J. Schooler

Curt Burgess

Robert L. Goldstone

Wai-Tat Fu

Sergey Gavrilets

David Lazer

James A. R. Marshall

Frank Neumann

Jan M. Wiener

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262018098.003.0020

This chapter explores the benefits of restructuring search spaces and internal representations so as to make search more efficient. It begins by providing a formal definition of search, and proposes a method for shifting search between low- and high-dimensionality problem spaces. Consideration is given to how learning shapes the representations that help people search efficiently as well as on constraints that people face. Some constraints are considered biases necessary to make sense out of the world; others (e.g., working memory) are taken as both “limiters” to be overcome and “permitters” that make learning in a finite amount of time possible at all. Further constraints on search are tied to the physical structure of the world. The chapter concludes with a discussion of social search, where communication can promote exploration and exploitation in an environment that often consists of other agents searching for similar solutions.

Keywords:   Strüngmann Forum Reports, search, search constraints, memory, working memory, communication, fitness landscapes

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