1. Distributed heuristic search methods. Distributed constraint satisfaction problems. 2. Knowledge representation for knowledge sharing and exchange: ontologies. 3. Distributed problem solving and planning 4. Strategic decision making. Social choice theory. Game theory. Auctions. 5. Learning in cooperative and competitive environments.
Tipus d’activitat Hores amb professor Hores sense professor Total Elaboració individual de treballs 2,00 10,00 12,00 Resolució d'exercicis 2,00 10,00 12,00 Sessió expositiva 18,00 18,00 36,00 Sessió pràctica 14,00 26,00 40,00 Total 36,00 64,00 100
G. Weiss (ed) (1999). Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence. MIT Press. Catàleg Michael Wooldridge (2009). An Introduction to MultiAgent Systems - Second Edition. John Wiley & Sons. Catàleg G. M. P. O'Hare, N. R. Jennings (eds). (1996). Foundations of Distributed Artificial Intelligence. John Wiley & Sons. Jacques Ferber Harlow. (1999). Multi-Agent System: An Introduction to Distributed Artificial Intelligence. Addison Wesley Longman. A. Dixit & S. Skeath (1999). Games of Strategy. Norton Company . Catàleg Bordini, R. , Dastani, M. , Dix, J. (2009). Multi-agent tools: languages, platforms and applications. Springer. Leon Sterling and Kuldar Taveter (2009). The Art of Agent-Oriented Modelling. MIT Press. Catàleg Kevin Leyton-Brown and Yoav Shoham (2008). Essentials of Game Theory. A Concise, Multidisciplinary Introduction. Morgan & Claypool Publishers. Michael Wellman (2011). Trading Agents. Morgan & Claypool Publishers. Nikos Vlassis (2007). A Concise Introduction to Multiagent Systems and Distributed Artificial Intellig. Morgan & Claypool Publishers. Catàleg
Activitats d'avaluació: Descripció de l'activitat Avaluació de l'activitat % Case study Information sources consulted, the ability to synthesize and analyze the information, the organization of the document, drafting and smartness of the solution presented. 40 P1. Decision making in cooperative environments Right answers of the practice questionnaire. Arguments and rationale of the answers. It is mandatory to deliver the practice according to the scheduled time. 25 P2. Decision making in competitive environments Right answers of the practice questionnaire. Arguments and rationale of the answers. It is mandatory to deliver the practice according to the scheduled time. 25 Problems and exercices Right answers of the problems and exercices. Arguments and rationale of the answers. It is mandatory to deliver the problems solutions and exercices answers according to the scheduled time. 10
Average among practical works (P1, P2), job (J), and exercices (E). If P1>5 and P2 > 5 J>5 and E > 5, then the average will be computed as follows: NF = 0,4 * J + 0,25 * P1 + 0,25 * P2 + 0,1 * E Criteris específics de la nota «No Presentat»:Whenever the student delivers either some practical work, exercice or the job, the final score will be other than No Presentat.