LoboVault Home

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

LoboVault

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

Show full item record

Title: A methodology for the assessment of the behavior and performance of artificial agents
Author: Ryan, Jessica
Advisor(s): Caudell, Thomas
Committee Member(s): Caudell, Thomas
Angel, Edward
Heileman, Gregory
Department: University of New Mexico. Dept. of Electrical and Computer Engineering
Subject: artificial
intelligence
simulation
evaluation
method
turing
LC Subject(s): Intelligent agents (Computer software)--Evaluation.
Computer games--Evaluation.
Turing test.
Artificial intelligence.
Degree Level: Masters
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.
Graduation Date: May 2007
URI: http://hdl.handle.net/1928/3232


Files in this item

Files Size Format View
thesis-r3-eSubmission.pdf 659.9Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record

UNM Libraries

Search LoboVault


Browse

My Account