Title | ||
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Typicality Constants and Range Defaults: Some Pros and Cons of a Cognitive Model of Default Reasoning |
Abstract | ||
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In this paper we discuss a cognitively plausible way to represent statements of typicality. The intuition behind our approach is based on the ability of people to conjure up and reason about a mental concept, or image, which is a typical or generic instance corresponding to a general (indefinite) description. We formalize this intuition by extending a first-order language to include representations of these mental concepts in the form of constant symbols, which we call typ constants, thereby allowing the language to match, more closely, the mental ontology of a commonsense reasoner who reasons with and about such typical mental concepts. Defaults are encoded by simply applying predicate letters to these typ constants. |
Year | DOI | Venue |
---|---|---|
1991 | 10.1007/3-540-54563-8_119 | ISMIS |
Keywords | Field | DocType |
range defaults,typicality constants,default reasoning,cognitive model,commonsense reasoning,first order | Default rule,Default logic,Ontology,Semantic reasoner,Cognitive science,Computer science,Psychology of reasoning,Artificial intelligence,Deductive reasoning,Predicate (grammar),Cognitive model,Machine learning | Conference |
Volume | ISBN | Citations |
542 | 3-540-54563-8 | 0 |
PageRank | References | Authors |
0.34 | 12 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael J. Miller | 1 | 22 | 4.84 |
Donald Perlis | 2 | 306 | 54.22 |