Modern Information Retrieval
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
A Multi-Agent Approach for Peer-to-Peer Based Information Retrieval System
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Agent Community Based Peer-to-Peer Information Retrieval
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Reflective negotiating agents for real-time multisensor target tracking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A context-aware approach for service selection using ontologies
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Ontology-Based Service Representation and Selection
IEEE Transactions on Knowledge and Data Engineering
Agent clustering based on semantic negotiation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Ontology negotiation: goals, requirements and implementation
International Journal of Agent-Oriented Software Engineering
Web Intelligence and Agent Systems
Ontology negotiation in heterogeneous multi-agent systems: The ANEMONE system
Applied Ontology - Formal Ontologies for Communicating Agents
Methods for Coalition Formation in Adaptation-Based Social Networks
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Ontology enrichment in multi agent systems through semantic negotiation
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
HISENE2: a reputation-based protocol for supporting semantic negotiation
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Ontology negotiation in heterogeneous multi-agent systems: The ANEMONE system
Applied Ontology - Formal Ontologies for Communicating Agents
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In this paper, we present our work balancing ontological and operational factors in building collaborations within multiagent neighborhoods. This innovation takes into account the desired level of performance, service priorities, and relaying of tasks to determine whether an agent should entertain ontological learning, which are more expensive but more rewarding in the long run, or carry out operational learning, which are less expensive and more rewarding in the short term. The domain of application is multiagent, distributed information retrieval, where agents, safe-guarding information or data resources, improve their local services by collaborating with others. Each agent is capable of providing query services to its users, and is equipped with an ontology defining the concepts that it knows and the associated documents. When collaborating, an agent needs to determine which agents to approach and how to approach them. Experiments show that with balanced profile-based reinforcement learning (operational) and inference-based ontological learning, agents reach desired level of performance while improving the neighborhood health and communication cost.