Part I. Agents in the World: What Are Agents and How Can They Be Built?: 1. Artificial intelligence and agents; 2. Agent architectures and hierarchical control; Part II. Reasoning, Planning and Learning with Certainty: 3. Searching for solutions; 4. Reasoning with constraints; 5. Propositions and inference; 6. Planning with certainty; 7. Supervised machine learning; Part III. Reasoning, Learning and Acting with Uncertainty: 8. Reasoning with uncertainty; 9. Planning with uncertainty; 10. Learning with uncertainty; 11. Multiagent systems; 12. Learning to act; Part IV. Reasoning, Learning and Acting with Individuals and Relations: 13. Individuals and relations; 14. Ontologies and knowledge-based systems; 15. Relational planning, learning, and probabilistic reasoning; Part V. Retrospect and Prospect: 16. Retrospect and prospect; Part VI. End Matter: Appendix A. Mathematical preliminaries and notation. leírás elrejtése