An Internal Agent Architecture Incorporating Standard Reasoning Components and Standards-based Agent Communication

Authors:
Mengqiu Wang;Martin Purvis;Mariusz Nowostawski
Affiliations:
Department of Information Science University of Otago Dunedin, New Zealand;Department of Information Science University of Otago Dunedin, New Zealand;Department of Information Science University of Otago Dunedin, New Zealand
Venue:
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Year:
2005

Citing 0
Cited 5

Extending a multi-agent reasoning interoperability framework with services for the semantic web logic and proof layers

RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Cross-community interoperation between the EMERALD and rule responder multi-agent systems

RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Principles of the SymposiumPlanner instantiations of rule responder

RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Cross-community interoperation between knowledge-based multi-agent systems: A study on EMERALD and Rule Responder

Expert Systems with Applications: An International Journal
Reasoning and proofing services for semantic web agents

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses a general architecture for intelligent software agents. It can be used to construct agents that engage in high-level reasoning by employing standard reasoning engines as plug-in components, while communicating with other agents by means of the standard FIPA-based communication protocols. The approach discussed uses internal micro-agents and declarative goals to form a hierarchical internal agent architecture. It has been implemented and tested with three high-level formal reasoning system components that are used in conjunction with an existing agent platform, OPAL, which supports the FIPA (Foundation for Intelligent Physical Agents) communication standards.