| Cooperative intelligent agents |
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| Teaching Staff in Charge |
| Assoc.Prof. POP Horia Florin, Ph.D., hfpop@cs.ubbcluj.ro Lect. SERBAN Gabriela, gabis@cs.ubbcluj.ro |
| 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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Gerhard Weiss (Ed.), Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, 1999
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| 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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