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Intelligent Agent Systems Autumn 2005. Master Study in Intelligent Systems Machine Learning (Roland – 10 points) Intelligent Agent Systems (Ky – 15 points)

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Presentation on theme: "Intelligent Agent Systems Autumn 2005. Master Study in Intelligent Systems Machine Learning (Roland – 10 points) Intelligent Agent Systems (Ky – 15 points)"— Presentation transcript:

1 Intelligent Agent Systems Autumn 2005

2 Master Study in Intelligent Systems Machine Learning (Roland – 10 points) Intelligent Agent Systems (Ky – 15 points) Special Literature (Roland, Ky – 15 points) Master Thesis (Roland, Ky)

3 Intelligent Agents Know the Environment (B) Know What you can do and How you can do that (D) Able to choose the best action (know Why you choose that) (I)

4 Intelligent Agent Systems Reactive Proactive Social Ability - Competition - Negotiation - Cooperation

5 Intelligent Agent Systems Uncertainty Study Situation (Environment) Actions Requests Decision Making Limited Knowledge Limited Time (Rate)

6 Topics Agents and Intelligent Agents Multi- and Mobile Agent Systems: The Yin-Yang System Agent Communication Language: KQML Project : TAC Game Problem Solving: Searching Operational Research (SciLib) LP Programming Integer Programming Auction (SciLib) Learning & Neural Networks (SciLib) Semantic Web Robotic & Control Systems (Option)

7 Special Literature Each Student must Choose a topic to work with his/her master thesis Meet instructor once a week to work with the special topic. Literature would be given by instructor During working with the special literature, student must make the decision about his/her master thesis. Evaluation: An open presentation of the special literature in the end of the semester (Pass/Fail)

8 Master Thesis Directions Neural Networks NN and Pattern Recognition NN and Medical Diagnosis NN and Financial Forecasting NN and Rule-Extraction

9 Master Thesis Directions Machine Learning Disciple Learning Agents Reinforcement Learning Agents

10 Master Thesis Directions Machine Learning Disciple Learning Agents Reinforcement Learning Agents

11 Master Thesis Directions Semantic Web Multi-Agent Systems and the Semantic Web Topic Maps and the Semantic Web Trust Networks on the Semantic Web

12 Master Thesis Directions Intelligent Agent Systems Multi-Agent Systems and Resource Allocation Problems Multi-Agent Systems and Coalition Formation Problems Combinatorial Auction Systems Multi-Agent Systems in Traffic and Transportation Problems


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