Abstractional Concept Mapping: A Foundational Model for Analogical Reasoning
| Autor: | Daniel L. Chester, Charles Dierbach |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Knowledge representation and reasoning
Logical truth business.industry Literal (mathematical logic) Metaphor media_common.quotation_subject Analogy Scientific modelling Computational Mathematics Artificial Intelligence Similarity (psychology) Artificial intelligence Heuristics business Mathematics media_common |
| Zdroj: | Computational Intelligence. 13:32-86 |
| ISSN: | 1467-8640 0824-7935 |
| DOI: | 10.1111/0824-7935.00028 |
| Popis: | We present a mathematical model providing a formal basis for analogical reasoning, referred to as abstractional concept mapping. The approach provides a formal basis for all comparison–based reasoning (e.g., literal similarity, analogy, metaphor, and scientific models) in that given any two descriptions in first–order logic, arbitrary comparisons of similarity are representable as first–order theories (referred to as “comparison theories”), dependent only on the notion of logical truth and not on domain–specific heuristics or particular features of the knowledge representation. |
| Databáze: | OpenAIRE |
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