Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Guarantees for autonomy in cognitive agent architecture
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Conflicts in Policy-Based Distributed Systems Management
IEEE Transactions on Software Engineering
Efficient mechanisms for the supply of services in multi-agent environments
Decision Support Systems - Special issue on information and computational economics
A multi-resolution collaborative architecture for web-centric global manufacturing
Information Sciences—Applications: An International Journal
Information Sciences: an International Journal - Intelligent manufacturing and fault diagnosis (II). Soft computing approaches to fault diagnosis
Ponder: Realising Enterprise Viewpoint Concepts
EDOC '00 Proceedings of the 4th International conference on Enterprise Distributed Object Computing
Virtual Enterprise Modeling and Support Infrastructures: Applying Multi-agent System Approaches
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Introduction to E-Commerce Agents: Marketplace Solutions, Security Issues, and Supply and Demand
E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand
Using Similarity Criteria to Make Negotiation Trade-Offs
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Brokering in electronic insurance markets
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
The ANote modeling language for agent-oriented specification
Software Engineering for Multi-Agent Systems III
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Web-centric virtual enterprises, to be successful, need to be highly innovative and competitive. Both features can only be achieved if the underlying structure is ever emerging and dynamic. Unsatisfactory member organizations need to be replaced by better ones and/or the conglomerate is to be extended if organizations are detected that can contribute substantially to the success of the virtual enterprise. This paper presents the key concepts of an emergence model and discusses how the best possible partners for a given (bunch of) task(s) can be found and evaluated to guarantee that always the best choice is made. Moreover, the overall objectives of a virtual enterprise and the individual objectives of involved agents need to be harmoniously integrated in order to guarantee the overall success of the conglomerate as well as the success of the individual agents. To achieve this intentional problem solving is introduced. It allows agents to cluster and collaborate in a way that fits best to the individual goals of each agent (e.g. maximum profit) as well as considering the overall objectives of the next higher level (e.g., virtual enterprise) as far-reaching as possible.