Self Organizing Agent Systems

• Professors
• Hores setmanals
• Competències
• Objectius
• Continguts
• Activitats
• Metodologia docent
• Mètode d'avaluació
• Bibliografia
• Web links
• Capacitats prèvies

Professors

Responsable

• Maite López ( )

Altres

• Maria Salamó ( )

Hores setmanals

Competències

Generic Technical Competences

Generic

• CG3 - Capacity for modeling, calculation, simulation, development and implementation in technology and company engineering centers, particularly in research, development and innovation in all areas related to Artificial Intelligence.

Technical Competences of each Specialization

Academic

• CEA1 - Capability to understand the basic principles of the Multiagent Systems operation main techniques , and to know how to use them in the environment of an intelligent service or system.
• CEA7 - Capability to understand the problems, and the solutions to problems in the professional practice of Artificial Intelligence application in business and industry environment.
• CEA9 - Capability to understand Multiagent Systems advanced techniques, and to know how to design, implement and apply these techniques in the development of intelligent applications, services or systems.

Professional

• CEP2 - Capability to solve the decision making problems from different organizations, integrating intelligent tools.
• CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
• CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.

Transversal Competences

Teamwork

• CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.

Solvent use of the information resources

• CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.

Analisis y sintesis

• CT7 - Capability to analyze and solve complex technical problems.

Objectius

1. Learning objectives referring to knowledge:
   Autonomic Computing is an initiative that was started by IBM in 2001. Its ultimate aim is to create self-managing computer systems to overcome their rapidly growing complexity and to enable their further growth. This course unit introduces students to the major concerns in this emerging field, focusing on multi-agent systems and self-organization capabilities.
   
   - A multi-agent system is composed of multiple interacting software components, or agents, which are typically
   capable of cooperating to solve problems that are beyond the abilities of any individual member.
   
   - Self-organization is a process in which the internal organization of a system, normally an open system, increases in complexity without being guided or managed by an outside source.
   
   The main objective of this course unit is to provide an insight into the autonomic capabilities of different multi-agent systems.
   Related competences: CT4, CT7, CEA7, CEA9, CEA1, CEP2, CEP4,
2. Objectives referring to abilities, skills: Students will acquire the capacity to determine which applications are compatible with the implementation of agent-oriented solutions and how these solutions can adapt automatically to periodic changes.
   Related competences: CG3, CEP3,
3. Objectives referring to attitudes, values and norms: Students will develop strong teamwork skills.
   Related competences: CT3,

Continguts

1. Introduction to multi-agent systems
   * Social models
   * Cooperative vs competitive agents
   * Contract networks
   * Coalitions
   * Organizations
2. Agent-based simulation
   * Individual modelling
   * Social analysis
   * Tools & case studies
3. Adaptation and coordination
   * Coalitions
   * Organizations
   * Autonomic electronic institutions
   * Coordination within virtual institutions
   * Multiple institutions
4. Adaptive social communities
   * Network communities
   * Survey of recommender systems
   * Collaborative recommender agents
   * Negotiation in recommender agents
   * Conversational case-based reasoning agents
   * Social trust for recommender agents

Activitats

Metodologia docent

Mètode d'avaluació

Bibliografia

Bàsica:

• An Introduction to Multiagent Systems - Michael Wooldridge, John Wiley & Sons , 2002. ISBN: 0 7149691X
  
• Multiagent Systems, A Modern Approach to Distributed Artificial Intelligence - Gerhard Weiss, MIT Press , 1999. ISBN: 0-262-23203-0
  
• Complex Adaptive Systems: An Introduction to Computational Models of Social Life - John H. Miller, Scott E. Page, , . ISBN:
  
• Developing Multi-Agent Systems with JADE - Fabio Luigi Bellifemine, Giovanni Caire, Dominic Greenwood, Wiley Series in Agent Technology , . ISBN:
  

Complementaria:

• Programming Multi-Agent Systems in AgentSpeak using Jason - Rafael H. Bordini, Jomi Fred Hübner, Michael Wooldridge, Wiley Series in Agent Technology , . ISBN:
  

Web links

• The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) sponsors the annual International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Conference proceedings are linked here. http://www.ifaamas.org/index.html
• Related course: "E-commerce and agents" by Julian Padget at University of Bath http://www.cs.bath.ac.uk/~jap/CM30174/
• "Biologically-inspired Distributed and Multi-agent Systems" by Radhika Nagpal at Harvard University http://www.eecs.harvard.edu/~rad/courses/cs266-fall04/
• Research papers from Prof. Nick Jennings (Southamton University) http://users.ecs.soton.ac.uk/nrj/publications.php
• Research papers from Prof. Michael Wooldridge (University of Oxford) http://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/

Capacitats prèvies