A conceptual model of groupware
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Multiagent systems: an emerging subdiscipline of AI
ACM Computing Surveys (CSUR)
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
SACON: a knowledge-based consultant for structural analysis
SACON: a knowledge-based consultant for structural analysis
Exception Diagnosis in Open Multi-Agent Systems
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A sentinel based exception diagnosis in market based multi-agent systems
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
Agent-based simulation of competitive and collaborative mechanisms for mobile service chains
Information Sciences: an International Journal
A novel strategy approach for agent-based resource management system
WSEAS Transactions on Information Science and Applications
OMAS-a flexible multi-agent environment for CSCWD
Future Generation Computer Systems
Autonomous malicious activity inspector - AMAI
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Information Sciences: an International Journal
An approach to debug interactions in multi-agent system software tests
Information Sciences: an International Journal
Categorization of malicious behaviors using ontology-based cognitive agents
Data & Knowledge Engineering
Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities
Information Sciences: an International Journal
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One of the major issues in dealing with exceptions in open multi-agent systems (MAS) is lack of uniform representation of exceptions and their shared semantics. In the absence of a uniform framework different business organizations may use different representations for the same exception or may interpret the same exception in different ways. In order to address this issue we apply an ontological approach as a uniform way of representing and interpreting exceptions in cross-organizational settings. This helps agents from different organizations interpret exceptional situations in an unambiguous way and exchange exception related information using standard structures. We believe that an exception ontology along with a domain ontology increases the open MAS reliability and also enhances its fault tolerance capability. The proposed ontology is built using the ontological support provided by the JADE agent framework and exception diagnoses agents are implemented using the JACK(TM) agent framework.