Title
Syntactic principles of heuristic-driven theory projection
Abstract
Analogy making is a central construct in human cognition and plays an important role to explain cognitive abilities. While various psychologically or neurally inspired theories for analogical reasoning have been proposed, there is a lack of a logical foundation for analogical reasoning in artificial intelligence and cognitive science. We aim to close this gap and propose heuristic-driven theory projection (HDTP), a mathematically sound framework for analogy making. HDTP represents knowledge about the source and the target domain as first-order logic theories and compares them for structural commonalities using anti-unification. The paper provides an overview of the syntactic principles of HDTP, explains all phases of analogy making at a formal level, and illustrates these phases with examples.
Year
DOI
Venue
2009
10.1016/j.cogsys.2008.09.002
Cognitive Systems Research
Keywords
Field
DocType
logic based analogical reasoning,cognitive science,anti-unification,first-order logic theory,heuristic-driven theory projection,formal level,analogy,analogical reasoning,analogy making,artificial intelligence,important role,human cognition,cognitive ability,syntactic principle,analogical learning,artificial intelligent,first order logic
Analogical reasoning,Anti-unification,Heuristic,Cognitive science,Cognitive psychology,Psychology,Artificial intelligence,Analogy,Cognition,Syntax,Machine learning
Journal
Volume
Issue
ISSN
10
3
Cognitive Systems Research
Citations 
PageRank 
References 
13
1.10
15
Authors
4
Name
Order
Citations
PageRank
Angela Schwering131931.11
Ulf Krumnack28713.03
Kai-uwe Kühnberger321128.67
Helmar Gust414322.86