Title

Hybrid learning approach based on adaptive resonance theory and reinforcement learning for computer generated agents

Author

Susumu Ninomiya, University of Central Florida

Keywords

Computer simulation, Neural networks (Computer science) -- Computer simulation

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.

Graduation Date

Summer 2002

Advisor

Williams, Kent

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Format

Print

Language

English

Length of Campus-only Access

None

Access Status

Doctoral Dissertation (Open Access)

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

STARS Citation

Ninomiya, Susumu, "Hybrid learning approach based on adaptive resonance theory and reinforcement learning for computer generated agents" (2002). Retrospective Theses and Dissertations. 1633.
https://stars.library.ucf.edu/rtd/1633