Do people think like computers?

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationComputers and Games - 9th International Conference, CG 2016, Revised Selected Papers
EditorsAske Plaat, Walter Kosters, Jaap van den Herik
PublisherSpringer Verlag
Pages212-224
Number of pages13
ISBN (Print)9783319509341
DOIs
StatePublished - 2016
Event9th International Conference on Computer and Games, CG 2016 - Leiden, Netherlands
Duration: Jun 29 2016Jul 1 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10068 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Computer and Games, CG 2016
CountryNetherlands
CityLeiden
Period6/29/167/1/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    van Opheusden, B., Bnaya, Z., Galbiati, G., & Ma, W. J. (2016). Do people think like computers? In A. Plaat, W. Kosters, & J. van den Herik (Eds.), Computers and Games - 9th International Conference, CG 2016, Revised Selected Papers (pp. 212-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10068 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-50935-8_20