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Utility Maximization and Bounds on Human Information Processing
Author(s) -
Howes Andrew,
Lewis Richard L.,
Singh Satinder
Publication year - 2014
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12089
Subject(s) - maximization , computer science , utility maximization , key (lock) , ideal (ethics) , observer (physics) , utility maximization problem , information theory , expected utility hypothesis , artificial intelligence , mathematical optimization , mathematical economics , mathematics , statistics , epistemology , computer security , philosophy , quantum mechanics , physics
Utility maximization is a key element of a number of theoretical approaches to explaining human behavior. Among these approaches are rational analysis, ideal observer theory, and signal detection theory. While some examples of these approaches define the utility maximization problem with little reference to the bounds imposed by the organism, others start with, and emphasize approaches in which bounds imposed by the information processing architecture are considered as an explicit part of the utility maximization problem. These latter approaches are the topic of this issue of the journal.