CLASSIC: a structural data model for objects
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Multiagent compromise via negotiation
Distributed Artificial Intelligence (Vol. 2)
Artificial Intelligence
Models: toward integrated knowledge modeling environments
Knowledge Acquisition
Towards heterogeneous agent teams
Mutli-agents systems and applications
A Classification Schema to Volumes 1 to 5 of the Intelligent Agents Series
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
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The agent view provides may be the right level of abstraction for dealing with complex, distributed problem-solving systems. It abstracts from aspects like the hardware or software platforms of various components or the internal structure, methods or processing of these components, focusing attention on how complex, heterogenous, distributed and evolving systems can be built from interoperable entities that are able to carry out structured interactions with each other. From the practical point of view, multi-agent systems engineering requires the ability to reuse abstract descriptions of system components, services, knowledge bases and coordination structures. Based on this recognition, we are building an Agent Development Shell that provides several reusable layers of languages and services for building agent systems: description logic based knowledge management, speech-act based communication, content based information distribution, coordination modeling language, agent modeling and conflict management. We are applying the approach to develop multi-agent applications in the area of manufacturing enterprise supply chain integration.