Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Towards Truly Agent-Based Traffic and Mobility Simulations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Large scale agent-based simulation on the grid
Future Generation Computer Systems
Designing ontologies for higher level fusion
Information Fusion
An ontology, intelligent agent-based framework for the provision of semantic web services
Expert Systems with Applications: An International Journal
Protocol conformance for logic-based agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Ontology-based user modeling for knowledge management systems
UM'03 Proceedings of the 9th international conference on User modeling
Deployment of distributed multi-agent systems
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
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Multi-agent systems models are frequently used in many complex real systems. They allow expressing event-based multi-agent, providing environment, and messaging, execution and sensor services. The development of agent based applications is difficult, suffering from insufficient standards and tools and on the other hand deployment issues are little researched and supported. The cooperation in multi-agent systems is one of the most important features that can be understood in many ways. In the paper is suggested that the designers must make the cooperation possible using appropriate tools. Urban traffic problems are very complex and highly interactive. The multi-agent systems (MAS) approach may however provide a new hopeful direction. Ontology is a mandatory concept in MAS. A simulation system is needed to understand and explore the difficulties in a MAS-based traffic control. In the paper we propose a model of a multi-agent system which is responsible for a map of a network of routes.