1987
DOI: 10.1207/s15327868ms0203_3
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Applications of Analogical Reasoning

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Cited by 31 publications
(8 citation statements)
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References 27 publications
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“…Analogical reasoning is based on a structure-mapping process through which relationships between objects or attributes are mapped from the old, base domain to a new, target domain (Gentner 1983) and knowledge from the base domain is used to operate the target domain. Analogical reasoning is particularly useful in situations involving missing data, ill-defined goals, and incomplete specification of parameters (Klein 1987), as is the case with new product adoption. Analogical reasoning, therefore, can help customers resolve incongruity.…”
Section: The Symbolic Dimension Of Product Innovations: Visual Similamentioning
confidence: 99%
“…Analogical reasoning is based on a structure-mapping process through which relationships between objects or attributes are mapped from the old, base domain to a new, target domain (Gentner 1983) and knowledge from the base domain is used to operate the target domain. Analogical reasoning is particularly useful in situations involving missing data, ill-defined goals, and incomplete specification of parameters (Klein 1987), as is the case with new product adoption. Analogical reasoning, therefore, can help customers resolve incongruity.…”
Section: The Symbolic Dimension Of Product Innovations: Visual Similamentioning
confidence: 99%
“…Recognition-based reasoning relies upon analogical reasoning, which involves making inferences from the similarity of relationships of elements across two or more domains. 33 Analogy can involve specific cases or highly abstract concepts or schemas. The use of analogy may also be referred to as case-based reasoning, as distinct from rule-based (analytical) reasoning.…”
Section: Immersive Stereo Displays and High-level Cognitionmentioning
confidence: 99%
“…Analogical reasoning appears to be one of the more fundamental thinking skills humans possess. Accordingly, Klein (1987) discussed the benefits of using analogy for problem solving, such as when there are missing data, an ill-defined problem space and ill-defined goals, and an incomplete specification of parameters; again, these are conditions under which robust decision making would occur.…”
Section: Intuitive Decision Makingmentioning
confidence: 99%