Modeling and Interacting with Agents in Mixed Environments

Human Interaction with Autonomous Systems in Complex Environments

Volume

Papers from the 2003 AAAI Spring Symposium

Contents

We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent and mixed environments. Our approach is based on explicitly modeling other agents, human or artificial. The advantage of our approach is that explicit models are the most comprehensive tools one can use to guide meaningful interactions. The disadvantage is that formulating and maintaining explicit models can be computationally prohibitive.