Sarma, V. V. S. (1994) A survey of Indian logic from the point of view of computer science Sadhana (Academy Proceedings in Engineering Sciences), 19 (6). pp. 971-983. ISSN 0256-2499
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Official URL: http://www.ias.ac.in/j_archive/sadhana/19/6/971-98...
Related URL: http://dx.doi.org/10.1007/BF02743938
Abstract
Indian logic has a long history. It somewhat covers the domains of two of the six schools (darsanas) of Indian philosophy, namely,Nyaya andVaisesika. The generally accepted definition of Indian logic over the ages is the science which ascertains valid knowledge either by means of six senses or by means of the five members of the syllogism. In other words, perception and inference constitute the subject matter of logic. The science of logic evolved in India through three ages: the ancient, the medieval and the modern, spanning almost thirty centuries. Advances in Computer Science, in particular, in Artificial Intelligence have got researchers in these areas interested in the basic problems of language, logic and cognition in the past three decades. In the 1980s, Artificial Intelligence has evolved into knowledge-based and intelligent system design, and the knowledge base and inference engine have become standard subsystems of an intelligent system. One of the important issues in the design of such systems is knowledge acquisition from humans who are experts in a branch of learning (such as medicine or law) and transferring that knowledge to a computing system. The second important issue in such systems is the validation of the knowledge base of the system i.e. ensuring that the knowledge is complete and consistent. It is in this context that comparative study of Indian logic with recent theories of logic, language and knowledge engineering will help the computer scientist understand the deeper implications of the terms and concepts he is currently using and attempting to develop.
Item Type: | Article |
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Source: | Copyright of this article belongs to Indian Academy of Sciences. |
Keywords: | Indian Logic; Logic; Language; Artificial Intelligence; Cognition |
ID Code: | 61380 |
Deposited On: | 15 Sep 2011 03:38 |
Last Modified: | 18 May 2016 11:06 |
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