OKBC: a programmatic foundation for knowledge base interoperability
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An integrated shell and methodology for rapid development of knowledge-based agents
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies
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The Disciple Learning Agent Shell (Disciple-LAS) is an integrated set of modules for rapid development of practical end-to-end knowledge-based agents, by domain experts, with limited assistance from knowledge engineers. DiscipleLAS and its associated agent building methodology are presented in (Tecuci et al. 1999). Therefore, in this paper, we introduce two very different agents developed with Disciple-LAS, to show its applicability to a wide range of domains. Then we introduce the different modules that are part of Disciple-LAS, and present their use in the agent building process. Finally we summarize the solutions proposed by the Disciple approach to some of the issues that have been found to be limiting factors in developing knowledge-based agents.