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Intelligent Agents Systems

Module ID

Ε805

Semester

8

Hours/Week - ECTS

4 – 5

Fotios Kokkoras

Assistant Professor

Learning Outcomes

Upon completion of the course, students:

  • Know basic concepts of multi-agent systems and their relationship with Artificial Intelligence, Distributed Systems, Philosophical considerations, Social theories, Psychology, Linguistics and Economics.
  • Can analyze the components of the basic architectures used to develop multi-agent systems (Logical Agents, Reasoning Agents).
  • Can analyze agent interactions with elements of game theory.
  • Can implement the basic mechanisms for negotiation between agents – auctions, negotiation for the division of tasks and resources, logical reasoning.
  • Can analyze agent communication based on speech act theory.

Indicative Module Content

  • Intelligent agents and multi-agent systems: Intelligent Software Agents, Agents and Objects, Agents and Expert Systems, Multi-Agent Environments.
  • Agent Interactions: Types of Interactions, Communication Techniques, Strategies and Equilibria.
  • Game Theory, Negotiation and Agreement Making, Cooperative Frameworks.
  • Decision Making Theory: Knowledge Modelling, Logic, Learning Techniques (supervised / unsupervised). Distributed decision-making techniques.
  • Optimization Techniques and Synchronization: Types and techniques of synchronization and coordination, Application of optimization methods, multi-criteria optimization techniques,
  • Application of Computational Intelligence Techniques (Fuzzy Logic, Genetic Algorithms, Neural Networks, etc.),
  • Applications of Swarm Theory (Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony, etc.)