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Issue No.03 - Fall (1988 vol.3)
pp: 53-68
<p>The authors have developed domain-independent techniques for reasoning and learning by analogy, techniques that capture and apply problem-solving experience and that are useful for search-intensive problems found in the design domain. They have incorporated these techniques, plus nonmonotonic reasoning capability, into Argo, a tool for building knowledge-based systems that improve with use. They discuss learning from experience and also analogical reasoning and learning. They describe knowledge representation and interference in Argo and Argo's control strategy for design. An application to VLSI circuit design is provided. Various features of Argo are described.</p>
Michael N. Huhns, Ramon D. Acosta, "Argo: A System for Design by Analogy", IEEE Intelligent Systems, vol.3, no. 3, pp. 53-68, Fall 1988, doi:10.1109/64.21891
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