Programming

The goal of the subject is to provide the student with enough ability and knowledge about agents and multiagent systems through its application on a board game. These kind of games often have distributed nature, require privacy, intelligence and planning. In order to achieve such goal, students have to acquire understanding of agents.

- Introduction to agents: basic concepts and its role in actual AI. - Identifying key aspects of a problem domain from the agent perspective: Designing an agent system - Communication and coordination among agents: FIPA - Intelligence of agents: BDI - Electronic Institutions: Norms and obligations.

Learning activities: * Theoretical lectures: Mainly oriented to the acquisition of the theoretical knowledge of the subject' competences * Practical lectures: Mainly oriented to problem solving. * Partial exams: Oriented to prove the understanding of theoretical lectures * Practical teamwork: Oriented to prove the understanding of practical lectures, and towards the competences related to work in teams in a practical case. organization and written communication (in written reports) * (online or onsite) Personal Tutoring (asked by email in advance) Methodology: * Oral lectures in classroom * Teamwork * Problem solving