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

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

DOI: 10.1007/978-3-319-91473-2_3

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

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