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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Notes
- 1.
Each rule has the form \(A \leftarrow B_1,\ldots ,B_n\) where A is the consequent and \(B_1,\ldots ,B_n\) the antecedent.
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Acknowledgments
Clemente Rubio-Manzano is partially supported by the State Research Agency (AEI) and the European Regional Development Fund (FEDER) project TIN2016-76653-P. This work has been done in collaboration with the research group SOMOS (SOftware-MOdelling-Science) funded by the Research Agency and the Graduate School of Management of the Bío-Bío University.
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Rubio-Manzano, C., Lermanda-Senoceaín, T., Vidal-Castro, C., Segura-Navarrete, A., Martínez-Araneda, C. (2018). Human Players Versus Computer Games Bots: A Turing Test Based on Linguistic Description of Complex Phenomena and Restricted Equivalence Functions. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_3
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