Soumitra Dutta's Knowledge Processing and Applied Artificial Intelligence PDF

By Soumitra Dutta

ISBN-10: 0750616121

ISBN-13: 9780750616126

Supplying a proof of AI options and methods, this functional booklet indicates administration scholars and executives in industry/commerce how they could clear up enterprise issues of AI applied sciences, and research the strategic impression of AI expertise on agencies. wisdom processing (AI) represents the subsequent part within the evolution of knowledge know-how in company

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Research within AI also focused attention on pragmatic concerns related to the representation of knowledge. Epistemological issues are unavoidable while dealing with KBSs because the notion of intelligence is closely related to the concept of knowledge. One frequently raised question in this context is whether KBSs (a) produce simulations of intelligent behavior, or (b) contain models of intelligence, or (c) represent actual synthetic intelligence. ), and not on how the system produces the output.

Human experts learn and expand their knowledge continuously. For KBSs to be effective, it's also necessary that their knowledge bases are continuously updated (either by explicit programming, or via autonomous learning methods). 6. The knowledge in most KBSs is a combination of both explicit and tacit knowledge about a particular domain (with little common-sense knowledge). Depending upon the domain characteristics, varying amounts of both declarative and procedural knowledge can be present. While surface knowledge is dominant in most rule-based KBSs, there is a trend towards incorporating more deep knowledge in KBSs.

What is the level of uncertainty in the knowledge? • decomposition — can the task be decomposed into smaller units? What are the interactions between the decomposed units? • layering — how can knowledge about the task (or its decomposed units) be layered (from general issues to specific details)? What are the interactions between layers? Interviewing the expert (and other interest groups) is the next task of the knowledge engineer. The interview process can be structured around the identified layers of knowledge in the task, or its decomposed units (this makes the acquisition of knowledge easier).

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Knowledge Processing and Applied Artificial Intelligence by Soumitra Dutta


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