Principles of continuous analogical reasoning |
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| Authors: | THOMAS ESKRIDGE |
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| Affiliation: | Knowledge Systems Group, Computing Research Laboratory , New Mexico State University , Las Cruces, NM, 88003-0001, USA |
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| Abstract: | Abstract This paper presents evidence supporting the view of analogical reasoning as a continuous process. The phrase continuous analogical reasoning refers to the continuous flow of information between the three stages in analogical reasoning: selection, mapping and evaluation. This paper presents the motivations behind the development of the continuous analogical reasoning approach, along with evidence of the interactions between stages from the psychological community. Implications for discrete analogical reasoning systems are discussed. The implementation of a continuous analogical reasoning system called ASTRA is presented and discussed in terms of the interactions between the stages. |
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| Keywords: | machine learning formal learning theory PAC learning bias learning in the limit |
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