This book provides a gentle introduction to knowledge engineering which encompasses the acquisition, representation and management of so-called "knowledge".
Pages in category "Knowledge engineering"
The following 28 pages are in this category, out of 28 total. This list may not reflect recent changes (learn more).
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Knowledge Engineering for planning
Decide what to talk about.
Decide on a vocabulary of conditions (literals), operators, and objects.
Encode operators for the domain.
Encode a description of the specific problem instance.
knowledge engineer a person who develops an expert system by gathering knowledge of the domain from human experts and other sources, organizing the knowledge, choosing appropriate software tools, ...
The Knowledge Engineer
The knowledge engineer is concerned with the representation chosen for the expert's knowledge declarations and with the inference engine used to process that knowledge.
Knowledge Engineering Group (KEG) at the Center for Strategic Leadership (CSL) United States Army War College (USAWC).
9 Knowledge engineering 301
9.1 Introduction, or what is knowledge engineering? 301 ...
What the knowledge engineers claim to have discovered is that in areas which are cut off from everyday common sense and social intercourse, all a machine needs in order to behave like an expert is specialized knowledge of two types: ...
PDAMum used Knowledge Engineering methodology to ensure it will meet its requirement, objectives and scopes.
Figure 4: Knowledge Engineering Methodology
Phase 1: Problem Assessment ...
^ Knowledge engineering: Russell & Norvig 2003, pp. 260-266, Poole, Mackworth & Goebel 1998, pp. 199-233, Nilsson 1998, chpt. ~17.1-17.4 ...
expert systems A ``knowledge engineer'' interviews experts in a certain domain and tries to embody their knowledge in a computer program for carrying out some task.
The knowledge base is created by knowledge engineers, who interview dozens of human experts in the field.
The knowledge base (rules and facts) elicited from the expert by a trained "knowledge engineer" using various methods that can include methodical interviews and the repertory grid technique.
McCulloch-Pitts neurone
Micro Interpreter for Knowledge Engineering
N
natural language processing
neats vs. scruffies ...
The process of acquiring the knowledge from the experts and their documentation and successfully incorporating it in the software is called knowledge engineering, and requires considerable skill to perform successfully.
Much of what is currently labeled AI research follows a functional model, applying particular programming techniques, such as knowledge engineering, fuzzy logic, genetic algorithms, neural networking, heuristic searching, ...
Organization of knowledge, therefore, is of paramount importance in knowledge engineering. A variety of knowledge representation techniques are in use in Artificial Intelligence.
term objective than anything else, but in the short term many fields of AI are benefiting from using techniques in other fields. Thus, most domain specific applications can be tackled very successfully with such techniques, if a knowledge engineer ...
 See also: Knowledge, Artificial intelligence, Knowledge engineering, AI, Expert system
  
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