Title
Refining Human Behavior Models In A Context-Based Architecture
Abstract
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endowed with a context-based control model developed through other means and tasked with a mission in a simulation. This simulation-based mission was employed to expose the agent to situations possibly not considered in the model's original construction. Reinforcement learning was used to evaluate and refine the performance of this agent to improve its effectiveness and generality.
Publication Date
7-24-2006
Publication Title
FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference
Volume
2006
Number of Pages
649-650
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
33746082447 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33746082447
STARS Citation
Aihe, David and Gonzalez, Avelino J., "Refining Human Behavior Models In A Context-Based Architecture" (2006). Scopus Export 2000s. 8236.
https://stars.library.ucf.edu/scopus2000/8236