Title
Towards A Human Behavior Model Based On Instincts
Keywords
Artificial intelligence; Human behavior; Instincts; Modeling
Abstract
This paper presents the feasibility of implementing an instinct-based behavioral model in an artificial agent. This research serves as a collection of information related to devising an artificially intelligent entity whose decisions are based on human instinct. The treatment of instincts will be defined by the bounds of psychology and ethnology. The research focuses on two concepts: (1) the psychological and ethological implications of instinctive behavior, and (2) the use of instinct-like functional primitives in artificial intelligence systems. The primary goal of this paper is to survey the existing research that may reveal insight in producing a realistic behavior model based on instincts. Such a model would serve as the basis for a human behavior model to be used in simulation and training scenarios.
Publication Date
8-27-2012
Publication Title
16th Conference on Behavior Representation in Modeling and Simulation 2007, BRIMS
Volume
1
Number of Pages
280-306
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84865244837 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84865244837
STARS Citation
Hung, Victor C. and Gonzalez, Avelino J., "Towards A Human Behavior Model Based On Instincts" (2012). Scopus Export 2010-2014. 4444.
https://stars.library.ucf.edu/scopus2010/4444