Publication Date
2021
Document Type
Dissertation
Committee Members
Michael T. Cox, Ph.D. (Committee Co-Chair); Mateen M. Rizki, Ph.D. (Committee Co-Chair); Matthew M. Molineaux, Ph.D. (Committee Member); Michael L. Raymer, Ph.D. (Committee Member); Michelle A. Cheatham, Ph.D. (Committee Member)
Degree Name
Doctor of Philosophy (PhD)
Abstract
A significant issue in cognitive systems research is to make an agent formulate and manage its own goals. Some cognitive scientists have implemented several goal operations to support this issue, but no one has implemented more than a couple of goal operations within a single agent. One of the reasons for this limitation is the lack of knowledge about how various goals operations interact with one another. This thesis addresses this knowledge gap by implementing multiple-goal operations, including goal formulation, goal change, goal selection, and designing an algorithm to manage any positive or negative interaction between them. These are integrated with a cognitive architecture called MIDCA and applied in five different test domains. We will compare and contrast the architecture's performance with intelligent interaction management with a randomized linearization of goal operations.
Page Count
132
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
2021
Copyright
Copyright 2021, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
ORCID ID
0000-0001-6297-7835
