Contents -- Preface -- I The Study of Intelligence - Foundations and Issues -- 1 - The Study of Intelligence -- 2 - Foundations of Classical Artificial Intelligence and Cognitive Science -- 3 - The Fundamental Problems of Classical Artificial Intelligence and Cognitive Science -- II A Framework for Embodied Cognitive Science -- 4 - Embodied Cognitive Science: Basic Concepts -- 5 - Neural Networks for Adaptive Behavior -- III Approaches and Agent Examples -- 6 - Braitenberg Vehicles -- 7 - The Subsumption Architecture -- 8 - Artificial Evolution and Artificial Life -- 9 - Other Approaches -- IV Principles of Intelligent Systems -- 10 - Design Principles of Autonomous Agents -- 11 - The Principle of Parallel, Loosely Coupled Processes -- 12 - The Principle of Sensory-Motor Coordination -- 13 - The Principles of Cheap Design, Redundancy, and Ecological Balance -- 14 - The Value Principle -- 15 - Human Memory: A Case Study -- V Design and Evaluation -- 16 - Agent Design Considerations -- 17 - Evaluation -- VI Future Directions -- 18 - Theory, Technology, and Applications -- 19 - Intelligence Revisited -- Glossary -- References -- Author Index -- Subject Index.