Ppt Knowledge Representation Kr Techniques Powerpoint Presentation Value of rules as form of kr • rules as a form of kr (knowledge representation) are especially useful –relatively mature from basic research viewpoint –good for prescriptive specifications (vs. descriptive) • a restricted programming mechanism –integrate well into commercially mainstream software engineering, e.g., oo and db. I concentrate mainly on procedural knowledge, semantic networks, frames, logic, rule based reasoning, and distributed representations. other paradigms listed above are covered under separate topics. shown below is a 6 week lecture plan: week 1: an introduction to kr, procedural knowledge, and frames.
Knowledge Representation And Rule Based Systems Pdf Knowledge Enumerating objects vs painting objects. extend the existing behavior by adding new beliefs. assert that canaries are yellow. debug faulty behavior by locating the erroneous beliefs. by changing the color of sky we change any routine that uses that information. explain and justify the behavior of the system. Knowledge representation (kr) and 2) search 2 • kr is key to the success of expert systems – expert systems are designed for certain type of kr based on rules of logic called inferences. the right kr makes valid “reasoning” possible. – kr affects the development, efficiency, speed, and maintenance of the system. a good choice of kr is. 6.3 what is kr? one of the most central issues in ai. different representational technologies: – rule based systems – semantic nets – frames and scripts (object oriented programming) – formal languages, modal logic, and predicate calculus – case based reasoning – concept maps – no representation brooks' intelligence without. Effective knowledge representation and reasoning (kr&r) methods are a foundational requirement for achieving those capabilities whether the knowledge is represented in symbolic world models, in procedures, or in neural nets, and whether the reasoning methods are based on symbolic deduction or deep learning.
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