Knowledge exchange between agents in real-time environments

AbstractTo obtain unpredictable social interaction between autonomous agents
in real-time environments, we present a simple method for
logic-based knowledge exchange. A method which is able to form new
knowledge rather than do simple exchange of particular rules found
in predetermined rule sets. The applicability of our concept is
demonstrated through a simple visualization of a real-time 3D
environment, where agents seek to persuade opponents to join their
team. This is done through cooperation with friends and education of
neutral agents.
Keywordsagents for games, knowledge exchange, logic, learning, multi-agent systems, real-time animation, synthetic characters
TypeConference paper [With referee]
ConferenceProceedings of the International Conference on Computer Animation and Social Agents (CASA 2005)
EditorsGeorge Baciu, Ming C. Lin, Rynson W. H. Lau, and Daniel Thalmann
Year2005    Month October    pp. 127-132
PublisherThe Hong Kong Polytechnic University
AddressHung Hom, Kowloon, Hong Kong
ISBN / ISSN9623674775
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics