Conceptual Modelling of Multi-Agent Systems

1. Introduction.- 2. State of the Art : Agent Models and Architectures.- 1 Introduction.- 2 Characterisation of a Multi-Agent System (MAS).- 3 Hierarchical and Layered Architectures.- 4 Reactive and Real-Time Architectures.- 5 Heterogeneous, Cooperative and Social Architectures.- 6 Template-based and Generic Development Tools.- 7 Conclusion.- 3. State of the Art : Knowledge Acquisition and Modelling.- 1 Introduction.- 2 Historic Milestones.- 3 ComMet: Compositional Modelling.- 4 The KADS, CommonKADS and REFLECT project.- 5 COPILOTE: Flexible Control.- 6 ACKnowledge : Using General Directive Models.- 7 VITAL : Structured Model Development.- 8 CERISE : Two Acquisition Cycles.- 9 MACAO: Data-Driven and Model-Driven KA Approach.- 10 MIKE: Model-based and Incremental KE.- 11 The PROTÉGÉ Framework : Generation of KA-Tools.- 12 Conclusion.- 4. The Comomas Methodology.- 1 Introduction and Motivation.- 2 MAS Development: A Model-Based Approach.- 3 Reusing Knowledge during Development.- 4 Model-Driven Knowledge Acquisition.- 5 Tasks, Strategies and Methods at Run-Time.- 6 Comparison to MAS Engineering Methodologies.- 7 Conclusion.- 5. The Comomas Agent Engineering Toolkit.- 1 Introduction and Motivation.- 2 The CoMoMAS Architecture.- 3 The CoMoMAS Acquire and Modeller.- 4 The CoMoMAS Constructor and Coder.- 5 The GUI for Constructor and Coder.- 6 An Example.- 7 Comparison to KBS Engineering Environments.- 8 Conclusion.- 6. The Comomas Agent Validation Testbed.- 1 Introduction and Motivation.- 2 MICE: The Original Version.- 3 MICE 2.0: The Extended Version.- 4 Adaptation of MICE for Mobile Robot Simulation.- 5 Conclusion.- 7. A Case Study.- 1 Introduction and Motivation.- 2 The Nomad200 Robot.- 3 The Adaptive Intelligent Systems Model.- 4 The CoNomad Agent Architecture.- 5Reverse Engineering of the Agent Architectures.- 6 Conclusion.- 8. Conclusion and Perspectives.- Appendices.- Model Operators.- BNF specification of CML.- BNF specification of CML-M.