Introduction

We study the emergent dynamics of multiagent systems in order to devise ways of engineering them from first principles.

• We are interested in finding ways to build adaptive multiagent systems whose behaviors can be predicted and which can satisfy any given requirements specification.
• We use these tools in order to understand the behavior of these systems at the theoretical level:
  • Machine Learning
  • Complexity theory
  • Game theory
  • Economics
  • Agent-based modeling
  • Operations research
  • Cybernetics
  • Management Science
• We use these technologies in order to implement and test our ideas:
  • Distributed programming (DCOM, CORBA, RMI, SOAP, Jini).
  • Peer-to-peer systems (JXTA).
  • Agent communication languages (FIPA-ACL)
  • Ontology languages (DAML)
  • Agent description languages (RDF, DAML-S)
• The applications we develop fit within Berners-Lee's Semantic Web vision.
• See our Engineering Adaptive Multiagent Systems whitepaper.