1. 02 -1 Lecture 02 Agent Technology Topics –Introduction –Agent Reasoning –Agent Learning –Ontology Engineering –User Modeling –Mobile Agents –Multi-Agent Systems

2. 02 -2 Introduction Agent reasoning –Symbolic Logic/ Rule/ Frame/ Case/ Fuzzy set theory Formal inference vs Natural deduction Planning –Sub-symbolic Artificial neural networks Parallel inference Agent learning –Supervised learning Classification –Unsupervised learning Clustering/ Association rule mining/ Collaborative learning

3. 02 -3 Introduction Knowledge management –Ontology engineering –Knowledge verification and validation –Knowledge evolution Access –User modeling –Mobile agents –Multi-agent systems

4. 02 -4 Agent Reasoning First-order predicate logic –Representation –Resolution Rule –Representation –Modus ponens Case –Case structure –Case-based reasoning Fuzzy reasoning –Fuzzy sets –Fuzzy logic –Fuzzy knowledge-based systems

5. 02 -5 Agent Learning Classification –Decision tree –Multi-layer perceptrons –Learning vector quantization –Support vector machine Clustering –K-Means –Self-organizing feature maps –Adaptive resonant theory Association rules learning –Mining frequent patterns –Mining frequent sequential patterns Collaborative learning

6. 02 -6 Ontology Engineering Representation and reasoning of ontology General ontology languages Web-centric ontology languages Ontology development Applications

7. 02 -7 User Modeling User preference User profile User model –User background knowledge –User idiosyncrasy –User interaction preference –User interests –Intention and mental status –User query and feedback processing –User model updating

8. 02 -8 Mobile Agents Mobile agents framework Mobile agent model –Agents –(Meeting) places –Security Applications

9. 02 -9 Multi-Agent Systems MAS architectures Coordination Collaboration Development of MAS Applications