Knowledge processing and commonsense

Narasimhan, Rangaswamy (1997) Knowledge processing and commonsense Knowledge-Based Systems, 10 (3). pp. 147-151. ISSN 0950-7051

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Symbolic expert systems have been developed during the last three decades to model knowledge-based human intelligent behaviour. A general criticism of such expert systems is that they lack commonsense. But there is little consensus among AI workers on what constitutes commonsense. In this paper a characterization of commonsense is attempted. The limitations and open problems relating to current approaches to expert systems design are discussed. In addition, open problems that need to be studied to adequately model commonsense behaviour are discussed. Our basic arguments hinge on the distinctions between tacit knowledge and propositionizable knowledge. The thesis is that commonsense behaviour is essentially underpinned by tacit knowledge.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Symbolic Expert Systems; Commonsense Intelligence; Tacit Knowledge; Skill-based Expertise
ID Code:33644
Deposited On:30 Mar 2011 13:26
Last Modified:30 Mar 2011 13:26

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