Del 0 - Multiagent Systems, Artificial Societies, and Simulated Organizations

Conceptual Modelling of Multi-Agent Systems

The CoMoMAS Engineering Environment

Inbunden, Engelska, 2002

AvNorbert Glaser

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This text proposes the methodology and engineering environment CoMoMAS for the development of multi-agent systems. CoMoMAS is among the most elaborated and most often cited multi-agent development approaches available in the field. Its originality is to address the issue of the development of multi-agent systems (MAS) from a knowledge engineering perspective, which means that agents are seen as interacting entities having different kinds of knowledge, which is to be identified during development. Knowledge has played an important role for MAS development in the past, but CoMoMAS makes a step further in proposing a complete set of conceptual models and a solid methodology to guide the overall development process of a MAS - from design to validation.

Produktinformation

Utgivningsdatum2002-05-31
Mått155 x 235 x 21 mm
Vikt600 g
FormatInbunden
SpråkEngelska
SerieMultiagent Systems, Artificial Societies, and Simulated Organizations
Antal sidor265
Upplaga2002
FörlagKluwer Academic Publishers
ISBN9781402070617

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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.