Distributed problem solving techniques: A survey
IEEE Transactions on Systems, Man and Cybernetics
Standardizing agent technology
StandardView
An introduction to software agents
Software agents
KAoS: toward an industrial-strength open agent architecture
Software agents
Software agents
Coordinating Multiagent Applications on the WWW: A Reference Architecture
IEEE Transactions on Software Engineering
Task-oriented collaboration with embodied agents in virtual worlds
Embodied conversational agents
Autonomous Agents and Multi-Agent Systems
An adaptive e-learning system based on intelligent agents
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
A multi-agent system for building project memories to facilitate the design process
Integrated Computer-Aided Engineering
Topological analysis of a two coupled evolving networks model for business systems
Expert Systems with Applications: An International Journal
Errors in Structure Self-organization: Statistical Analysis
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A-Teams and Their Applications
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
A Semantic Web Services-based approach for production systems control
Advanced Engineering Informatics
An adaptive e-learning system based on intelligent agents
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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Agents in a multi-agent system (mAS) could interact and cooperate in many different ways. The topology of agent interaction determines how the agents control and communicate with each other, what are the control and communication capabilities of each agent and the whole system, and how efficient the control and communications are. In consequence, the topology affects the agents' ability to share knowledge, integrate knowledge, and make efficient use of knowledge in MAS. This paper presents an overview of four major MAS topologic models, assesses their advantages and disadvantages in terms of agent autonomy, adaptation, scalability, and efficiency of cooperation. Some insights into the applicability for each of the topologies to different environment and domain specific applications are explored. A design example of the topological models to an information service management application is attempted to illustrate the practical merits of each topology.