Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back

Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general.

The new architectures emphasize more direct coupling of sensing to action, distributedness and decentralization, dynamic interaction with the environment, and intrinsic mechanisms to cope with limited resources and incomplete knowledge. The research discussed here encompasses such important ideas as emergent functionality, task-level decomposition, and reasoning methods such as analogical representations and visual operations that make the task of perception more realistic.

Pattie Maes is Research Associate at the Artificial Intelligence Laboratory of the University of Brussels and Visiting Faculty Member at the Artificial Intelligence Laboratory at MIT.