"Babes-Bolyai" University of Cluj-Napoca
Faculty of Mathematics and Computer Science
| Cooperative intelligent agents |
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| Teaching Staff in Charge |
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| Aims |
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To introduce the student a new field of Artificial Intelligenc - Distributed AI. To allow a comparative approach of theoretical aspects in distributed and classic AI. To contribute to understanding the necessity of DAI through the study of relevant industrial and practical applications. |
| Content |
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0. Introduction
1. Intelligent agents 2. Multiagent systems and societies of agents 3. Distributed problem solving and planning 4. Search algorithms for agents 5. Distributed rational decision-making 6. Learning in multiagent systems 7. Computational organizational theory 8. Formal methods in Distributed AI: Logic-based representation 9. Industrial and practical applications of DAI 10. Supplementary topics |
| References |
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1. WEISS, GERHARD (Ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, 1999.
2. WOOLDRIDGE, MICHAEL: Agent-Based Software Engineering. London: Mitsubishi Electric Digital Library Group, 1997. 3. SHOHAM, YOAV: Agent-oriented programming. Artificial Intelligence. 60(1), 1993, pp.51-92. 4. RAO, A. S. - GEORGEFF, M.: BDI Agents: from theory to practice. Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95). San-Francisco, 1995, pp.312-319. 5. RUSSELL, STUART J.: Learning agents for uncertain environments. Proceedings of the 11th annual Conference on Computational Learning theory, 1998, pp.101-103. |
| Assessment |
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Each student has to prove that (s)he acquired an acceptable level of understanding and processing of the domain knowledge, that (s)he is able of expressing this knowledge in a coherent form, that (s)he has the ability to develop a conceptual analysis of the domain and to use the knowledge in problems solving. The final grade will be based on the following components: theoretical and applicative reports; programming project; written paper.
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