Component-based Design of Intelligent Multi-Agent Systems 5-day course, May 29 - June 4, 2002.

Topics in the programme

• General
• Introduction - notions of agency
• weak agency: autonomy, reactiveness, pro-activeness, social abilities
• strong agency: beliefs, desires, goals, intentions, commitments
• Agent models and applications
• a generic model for process control agents
• planning, scheduling
• simulation
• monitoring
• dynamic control strategies
• application to biochemical industry
• a generic model for BDI-agents
• a model for agents with informational and motivational attitudes
• observations, beliefs, knowledge
• desires, goals
• actions, plans
• intentions and commitments for goals and plans
• application to agenda scheduling
• negotiation models
• bidding strategies
• application to electricity load balancing
• a generic cooperation model
• motivation, goals
• joint intentions
• planning, scheduling
• project recipe
• monitoring
• application to project coordination in aircraft design
• a generic model for distributed fault diagnosis
• hypothesis determination
• hypothesis validation
• monitoring
• explicit requests for information
• application to electricity transportation management
• a generic model for societies of small agents
• simulations
• emergence
• solitary, selfish, parasite, social (altruistic) behaviour
• models for assisting agents
• personal advisors, assistants
• user and agent models
• strategic interaction between agents
• application to explanation agents for fault diagnosis in chemical industry
• models for reflective agents
• mutual beliefs and knowledge
• rationality
• reasoning about one's own assumptions
• reasoning about another agent's reasoning
• reasoning about problem solving strategies
• application to distributed air traffic control: free flight
• Methodological issues
• component-based design method; introduction
• conceptual design, detailed design, operational design
• design rationale
• information and process hiding
• knowledge composition and task composition
• generic models of agents and tasks
• shared task models
• types of knowledge to be acquired and modelled:
• task composition
• information exchange
• task sequencing
• role delegation
• knowledge structures
• compositional architectures
• integration of various types of components
• information systems/databases
• numerical computation
• neural networks
• optimisation algorithms
• genetic algorithms

For more information, contact:

dr. C.M. Jonker
Department of Artificial Intelligence
Vrije Universiteit Amsterdam
De Boelelaan 1081a
1081 HV Amsterdam
The Netherlands
tel: +31 20 44 47743 / +31 20 44 47700
fax: +31 20 44 47653
email: jonker@cs.vu.nl

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