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2018 | OriginalPaper | Buchkapitel

Human Players Versus Computer Games Bots: A Turing Test Based on Linguistic Description of Complex Phenomena and Restricted Equivalence Functions

verfasst von : Clemente Rubio-Manzano, Tomás Lermanda-Senoceaín, Christian Vidal-Castro, Alejandra Segura-Navarrete, Claudia Martínez-Araneda

Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Verlag: Springer International Publishing

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Abstract

This paper aims to propose a new version of the well-known Turing Test for computer game bots based on Linguistic Description of Complex Phenomena and Restricted Equivalence Functions whose goal is to evaluate the “believability” of the computer games bots acting in a virtual world. A data-driven software architecture based on Linguistic Modelling of Complex Phenomena is also proposed which allows us to automatically generate bots behavior profiles. These profiles can be compared with human players behavior profiles in order to provide us with a similarity measure of believability between them. In order to show and explore the possibilities of this new turing test, a web platform has been designed and implemented by one of authors.

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Titel: Human Players Versus Computer Games Bots: A Turing Test Based on Linguistic Description of Complex Phenomena and Restricted Equivalence Functions
verfasst von: Clemente Rubio-Manzano
Tomás Lermanda-Senoceaín
Christian Vidal-Castro
Alejandra Segura-Navarrete
Claudia Martínez-Araneda
Verlag: Springer International Publishing
Buch: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Print ISBN: 978-3-319-91472-5

Electronic ISBN: 978-3-319-91473-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91473-2_3

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