Checking date: 16/05/2022


Course: 2022/2023

Agents and Multiagent Systems
(19205)
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)
EPI


Coordinating teacher: CARBO RUBIERA, JAVIER IGNACIO

Department assigned to the subject: Computer Science and Engineering Department

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
JAVA Programming
Objectives
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 the distributed AI concepts.
Skills and learning outcomes
Description of contents: programme
- Introduction to agents: key concepts and its role in actual AI. - Communication and coordination among agents. - Intelligence of agents - Applications of agents.
Learning activities and methodology
* 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 homework: Oriented to prove the understanding of practical lectures, and towards the competences related to work in teams, work organization and written communication (in written reports) * Personal Tutorials
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • Michael J. Wooldridge. Reasoning about rational agents. MIT Press . 2000
  • Michael J. Wooldridge. An introduction to multiagent systems. John Wiley & Sons . 2002

The course syllabus may change due academic events or other reasons.