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A methodology for the assessment of the behavior and performance of artificial agents


Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/3232

A methodology for the assessment of the behavior and performance of artificial agents

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dc.contributor.author Ryan, Jessica
dc.date.accessioned 2007-07-10
dc.date.available 2007-07-10
dc.date.issued 2007-07-10
dc.date.submitted May 2007
dc.identifier.uri http://hdl.handle.net/1928/3232
dc.description.abstract Computer games are becoming more popular for both entertainment and educational applications. The growth of this technology and its realm of use creates a new demand for artificial intelligence (AI) systems: as AI becomes more prevalent, it becomes crucial for it to have a natural, human feel to it in order to best support its application. Consequently, the need for a reliable means of testing and comparing the behavioral development of the artificial intelligence used within game applications becomes important. Turing’s test has been the staple in evaluating the “intelligence” of artificial agents in applications ranging from testing chatterbots to stopping web abuse. It is currently being used in evaluating the performance of specific artificial agents in particular games. In the following thesis, a methodology has been developed to provide a new contribution to the field of AI assessment. After bringing the perceptions of the human and AI onto the same level, the Turing test is used to evaluate the “humanness” of diverse agents in generalized environments. Results of a pilot study probing the validity of this methodology are presented. en_US
dc.format.extent 675791 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.subject artificial en_US
dc.subject intelligence en_US
dc.subject simulation en_US
dc.subject evaluation en_US
dc.subject method en_US
dc.subject turing en_US
dc.subject.lcsh Intelligent agents (Computer software)--Evaluation.
dc.subject.lcsh Computer games--Evaluation.
dc.subject.lcsh Turing test.
dc.subject.lcsh Artificial intelligence.
dc.title A methodology for the assessment of the behavior and performance of artificial agents en_US
dc.type Thesis en_US
dc.description.degree Masters of Computer Engineering en
dc.description.level Masters en
dc.description.department University of New Mexico. Dept. of Electrical and Computer Engineering en
dc.description.advisor Caudell, Thomas
dc.description.committee-member Caudell, Thomas
dc.description.committee-member Angel, Edward
dc.description.committee-member Heileman, Gregory

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