1. 1 Prerequisite Knowledge Agent Internet Information Service

2. 2 Related Lectures I611 Knowledge-Based Information Processing II by Shimazu I215 Artificial Intelligence by Sato, Tojo I614 Topics on Distributed Computing by Watanabe, Nakajima

3. 3 Reference Books Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach. Prentice- Hall, 1995. 古川康一監訳，エージェントアプローチ人工 知能，共立出版，１９９７． George F Luger and William A Stubblefield, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison Wesley, 1998.

4. 4 Review: Artificial Intelligence Approaches: Philosophy: Can a machine think? Science: What is a model of human intelligence? Engineering: How can a problem solving system be implemented?

5. 5 Engineering Approach to AI Layers: Theory: Technology Algorithm, Data Structure, Complexity, Completeness Practice: System Components, Maintainability, Security, Organization Business: Solution Problem Solving, Cost, Market Needs

6. 6 AI Technology 廣田薫編著：知能工学概論ー知能工学シリーズ１， 昭晃堂，１９９６． Chap1.Fundamentals of AI Problem solving: problem space, path finding, production rule, search tree, depth-first search, left-most search Expert system: knowledge representation, predicate logic, semantic network, knowledge acquisition, KB Learning: inductive learning, analogy

7. 7 Agent Reference: July 1994, CACM P. Maes: Agents that Reduce Workload and Information Overload Definition: Autonomous Communication Emotional: BDI-Model Mobile Network-based Intelligent Multi-Agent

8. 8 Our Definition/Image for Agent Agent Network: Cooperation in Distributed Environment Communication

9. 9 Communication between Agents Synchronous vs. Asynchronous Broadcasting vs. Peer-to-Peer ACL(Agent Communication Language)

10. 10 Advantages of the Agent Model An agent may be a software entity or a human being. Suitable for Network Environment: Flexibility Uncertainty Partial knowledge Needs security concerns

11. 11 Questions?

12. 12 G-2 ： Group Discussion Group 対抗の Debate ： それぞれのグループの発表 (Group Presentations) 質疑応答 (Q&A) 勝敗の判定 (Evaluation) テーマ： 集中 vs. 分散 Issue: Centralized vs. Distributed 奇数グループは集中派，偶数グループは分散 派 Groups with Odd Number → Pro-Centralized Groups with Even Number → Pro-Distributed それぞれの派は，自分の方の優れている点と 相手の方の劣っている点を考える．また，自 分の方の劣っている点を解決する策を考える．