The structure-mapping engine: algorithm and examples
Artificial Intelligence
Similarity and analogical reasoning
Similarity and analogical reasoning
The mechanisms of analogical learning
Similarity and analogical reasoning
Journal of Experimental & Theoretical Artificial Intelligence
Metaphors and heuristic-driven theory projection (HDTP)
Theoretical Computer Science - Algebraic methods in language processing
Restricted higher-order anti-unification for analogy making
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Complex analogies: remarks on the complexity of HDTP
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
When almost is not even close: remarks on the approximability of HDTP
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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Empirical research supports the belief that structural commonalities between two domains are the main guidance for the construction of analogies. Restricted higher-order anti-unification has been shown suitable to find structural commonalties and generate mappings between domains in the symbolic analogy model Heuristic-Driven Theory Projection (HDTP). This paper will describe how to enforce and integrate restrictions on mappings between symbols from a many-to-many up to a one-to-one symbol correspondence. We will also discuss how sorts together with sortal ontologies can be incorporated into anti-unification within HDTP and thereby restrict possible mappings between domains.