Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
Fuzzy Semantic Web agents are reactive software agents whose coordinated behavior is defined in terms of fuzzy action rules, inspired by fuzzy logic. We introduce a simple approac...
This paper presents modeling concepts and mechanisms of the Agent Modeling Language (AML) to model social aspects of multiagent systems. The modeling of structural, behavioral as w...
To increase the believability and life-likeness of Embodied Conversational Agents (ECAs), we introduce a behavior synthesis technique for the generation of expressive gesturing. A...
In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the ...