PRODIGY: An Integrated Architecture for Planning and Learning


Artificial intelligence has progressed to the point where multiple cognitive capabilities are being integrated into computational architectures, such as SOAR, PRODIGY, THEO, and ICARUS. This paper reports on the PRODIGY architecture, describing its planning and problem solving capabilities and touching upon its multiple learning methods. Learning in PRODIGY occurs at all decision points and integration in PRODIGY is at the knowledge level; the learning and reasoning modules produce mutually interpretable knowledge structures. Issues in architectural design are discussed, providing a context to examine the underlying tenets of the PRODIGY architecture.

DOI: 10.1145/122344.122353

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@article{Carbonell1991PRODIGYAI, title={PRODIGY: An Integrated Architecture for Planning and Learning}, author={Carlos de Juan Carbonell and Oren Etzioni and Yolanda Gil and Robert Joseph and Craig A. Knoblock and Steven Minton and Manuela M. Veloso}, journal={SIGART Bulletin}, year={1991}, volume={2}, pages={51-55} }