Matrix multiplication via arithmetic progressions
Journal of Symbolic Computation - Special issue on computational algebraic complexity
Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Communication decisions in multi-agent cooperation: model and experiments
Proceedings of the fifth international conference on Autonomous agents
Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW
Autonomous Agents and Multi-Agent Systems
Learning Situation-Specific Coordination in Cooperative Multi-agent Systems
Autonomous Agents and Multi-Agent Systems
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
A Uniform Framework for Integrating Knowledge in Heterogeneous Knowledge Systems
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
A Graph-Based Approach For Extracting Terminological Properties of Elements of XML Documents
Proceedings of the 17th International Conference on Data Engineering
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Multi-agent Web Information Retrieval: Neural Network Based Approach
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Analysis and Design of Multiagent Systems Using MAS-Common KADS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Towards Ontology-Based Harmonization of Web Content Standards
ER '00 Proceedings of the Workshops on Conceptual Modeling Approaches for E-Business and The World Wide Web and Conceptual Modeling: Conceptual Modeling for E-Business and the Web
Believing Others: Pros and Cons
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
On cooperation in multi-agent systems
The Knowledge Engineering Review
Methodological foundations for agent-based systems
The Knowledge Engineering Review
Learning to cooperate via policy search
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Agent clustering based on semantic negotiation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Research on agent communication model and its application in electric system
WSEAS TRANSACTIONS on SYSTEMS
A multi-agent coordination model for the variation of underlying network topology
Expert Systems with Applications: An International Journal
Trust measures for competitive agents
Knowledge-Based Systems
Recommending multimedia web services in a multi-device environment
Information Systems
Cloning mechanisms to improve agent performances
Journal of Network and Computer Applications
Multi-agent technology and ontologies to support personalization in B2C E-Commerce
Electronic Commerce Research and Applications
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In Multi-Agent Systems the main goal is providing fruitful cooperation among agents in order to enrich the support given to user activities. Cooperation can be implemented in many ways, depending on how local knowledge of agents is represented and consists, in general, in providing the user with an integrated view of individual knowledge bases. But the main difficulty is determining which agents are promising candidates for a fruitful cooperation among the (possibly large) universe of agents operating in the net. This paper gives a contribution in this context, by proposing a formal framework for representing and managing cooperation in multi-agent networks. Semantic properties are here represented by coefficients and adaptive algorithms permit the computation of a set of agents suggested for cooperation. Actual choices of the users modify internal parameters in such a way that the next suggestions are closer to users expectancy.