Introduction to Agents – Features - Classification of agents. Multi Agent Systems
(MAS) and properties. Agent communication ontology - Agent communication
languages: FIPA-ACL, KIF, KQML. Internal structure of MAS: Shell - Reasoning
engine. MAS development methodology: Agent behavior - Agent action. Knowledge
diffusion in MAS: Application level, behavior level and evolutionary agent
Data mining techniques for intelligent Agents: Association rule mining – Clustering
- Classification and evolutionary algorithms.
Applying data mining to agents - Study of available agent based modeling software.
Case studies - Application level, behavior level and evolutionary agent communities.