By Topic

Cognitive Modeling of Virtual Autonomous Intelligent Agents Integrating Human Factors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

We introduce a cognitive architecture combining human factors, human cognitive modeling, decision, perception and action selection based on hierarchical task networks. We use a cognitive model that comes from phycology science to define the control mode of a virtual agent. This control mode influences the agent decisions as well as its perception, its knowledge, or its goals. It depends on its physical and cognitive states and on its personality. We determine which factors influence the agent control mode and use them to generate various behaviors according to the situational constraints. We propose a new approach for modeling the environment and new algorithms to enable our virtual characters to evolve in the environment dynamically with a certain level of credibility.

Published in:

Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on  (Volume:3 )

Date of Conference:

15-18 Sept. 2009