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2016 | OriginalPaper | Chapter

Do People Think Like Computers?

Authors : Bas van Opheusden, Zahy Bnaya, Gianni Galbiati, Wei Ji Ma

Published in: Computers and Games

Publisher: Springer International Publishing

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Abstract

Human cognition inspired the earliest algorithms for game-playing computer programs. However, the studies of human and computer game play quickly diverged: the Artificial Intelligence community focused on theory and techniques to solve games, while behavioral scientists empirically examined simple decision-making in humans. In this paper, we combine concepts and methods from the two fields to investigate whether human and AI players take similar approaches in an adversarial combinatorial game. We develop and compare five models that capture human behavior. We then demonstrate that our models can predict behavior in two related tasks. To conclude, we use our models to describe what makes a strong human player.

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previous chapter An Analysis of Majority Systems with Dependent Agents in a Simple Subtraction Game
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Metadata
Title
Do People Think Like Computers?
Authors
Bas van Opheusden
Zahy Bnaya
Gianni Galbiati
Wei Ji Ma
Copyright Year
2016
Book
Computers and Games

Print ISBN: 978-3-319-50934-1

Electronic ISBN: 978-3-319-50935-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50935-8_20

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