Since before the time of the first digital computers, the workings of the mind have been compared to that of a machine. With the onset of the discipline of Artificial Intelligence a truly organized attempt has been made to build intelligent machines that model the mind. Many interesting programs have been built, but the legitimacy of their success is a matter of great controversy. None of the AI programs developed so far have come close to the true power and intelligence of the brain. Expert systems, for example, are the most success ful commercial AI programs, and even they have shown to be brittle, and only able to deal with knowledge in very narrow domains. I suggest that those interested in modeling the mind should explore the emotions. I propose that intelligence and the emotions have a dependent and critical relationship. This relationship suggests that attempts to model human intelligence should consider how the emotions effect our thinking, reasoning, problem-solving, and learning and incorporate this information into computer models. This thesis will review what has been done in the field of AI to build intelligent machines and will examine the relationship between emotions and intelligence. A computer model of emotions will be presented: MS. PACRAT - A Feeling Thinking Machine.

Library of Congress Subject Headings

Artificial intelligence; Emotions--Computer simulation

Publication Date


Document Type


Department, Program, or Center

Computer Science (GCCIS)


Anderson, Peter

Advisor/Committee Member

Suits, David

Advisor/Committee Member

Biles, Al


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: Q335 .D67 1991


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