Intelligent Agent System Catalog

智慧型代理人系統


Objective of The Course
     智慧型代理人系統技術結合人工智慧、分散式計算與網際網路技術，逐漸成為未來重要的資訊技術。本課程介紹智慧型代理人系統之理論、架構與應用。學生透過此課程實做一個智慧型代理人系統，以瞭解代理人技術與應用。
    課程主要內容包括 - 1.多代理人理論與架構，2. 機器學習與代理人調適，3. 協調技術，4. 合作與競爭，5.賽局理論與決策，6.知識本體論， 7.網路服務。本課程包含機率與隨機程序的基礎原理,如機率量測,隨機變數,大數法則,隨機程序,穩態隨機程序及其特性。本門課程為研究所在通訊及控制組之基本課程。

(2/22) Intelligent Agent Introduction	----
(2/29) Agent Application	----
(3/7) Mobil Agent	----
(3/7, 3/14) Proposition Login	----
(3/21) Agent Knowledge Representation	----
(3/28, 4/11) Agent-based Methodology	----
(4/18) Fuzzy Set Theory	----
(4/25) Decision Tree and AB Search	----
(5/2) Neural Network, Robot  Programming	----
(5/9) Robot Agent	----
(5/16) Genetic Algorithm, Agent Reasoning	----
(5/23) Agent Communication Language	----
(5/30) Game theories and decision making	----
(6/6) Cooperative and competitive problem solving	----
(6/13) Negotiation and coordination, Ontology and Semantic web	----

Textbook:

Course materials are selected from a number of books, research documents and journal papers and will be delivered on each session.

Reference:

1. Federico Bergenti, Marie-Pierre Gleizes, Franco Zambonelli, Methodologies and Software Engineering for Agent Systems:
2. The Agent-Oriented Software Engineering Handbook, Springer, 2010.
3. Nathan Griffiths, Kuo-Ming Chao, Agent-Based Service-Oriented Computing, Springer, 2010.
4. Michael Wooldridge. Introduction to MultiAgent Systems. Wiley, 2009.
5. Adelinde M. Uhrmacher, Danny Weyns, Multi-Agent Systems: Simulation and Applications: Computational Analysis, Synthesis, and Design of Dynamic Systems, CRC Press, 2009.