Knowledge Representation: An AI PerspectiveMost researchers to date in artificial intelligence has been based on the knowledge representation hypothesis, that is, the assumption that in any artificial intelligence (AI) programme there is a separate module which represents the information that the programme has about the world. As a result, a number of so-called knowlege representation formalisms have been developed for representing this kind of information in a computer. |
Contents
Logicbased Knowledge Representation Languages | 30 |
Production Rules | 80 |
1 | 115 |
Copyright | |
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Common terms and phrases
activation value algorithm analogical representations arguments Artificial Intelligence associated Brachman called Chapter class frame concept connectionism connectionist control regime correspond default logic default reasoning defined definition delta rule determine discuss domain elephant entities example expert systems fact FOPC frame-based knowledge representation frame-based representation heuristic hidden units IJCAI implemented individual inference procedure inference rule inheritance Inst instance frame interpreter intuition ISA links KL-ONE knowledge base knowledge representation language KRYPTON large number learning Levesque logic-based knowledge representation match meaning member-of memory elements MYCIN neuron nonmonotonic logic object particular past tenses PDP approach PDP models piece of information Pinker and Prince possible predicate primitive problem processing production rule systems proof theory proposed propositions Quillian represent restrictions role Rumelhart Rumelhart and McClelland Schank semantic nets semantic networks sentence slot SNEPS solve stored structure subgoals superclass TBox telephone number theorem prover tion translation true Tweety verbs Wickelfeatures