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Published byBernadette Pope Modified over 8 years ago
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Presented By: Aly Aboul Nour Supervised By: Dr. A. Rafea CommonKads
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Organization Model Task Model CommonKADS models Agent Model Communication Model Problem Definition Expertise Model Design Model
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Newell Knowledge Level There exists a level lying immediately above symbol level which is characterized by knowledge as the medium and the principle of rationality as law of behavior
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CommonKADS Knowledge level it is the appropriate level for modeling the competence of knowledge-based systems. It calls for the description of problem solving behavior at a conceptual level that is independent from representation and implementation decision.
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Rationality Acting Rational: The agent will act rationally within this structure leads to a class of behavior deals with pragmatic and epistermogical problems. e.g. MYCIN uses heuristic classification and knowledge is rational appropriate but achieve goals of the system.
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Expertise Model Problem Solving Methods Strategic Knowledge Problem Solving Knowledge Application Knowledge Task Knowledge Inference Knowledge Domain Knowledge
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Expertise Model Problem Solving knowledge knowledge on problem solving methods in general and on strategic knowledge Application knowledge Task knowledge Inference knowledge Domain knowledge
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Domain Knowledge Domain knowledge gives vocabulary of the application domain selection of all statement about the domain that together present a coherent view of the domain
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Domain Knowledge Start-circuit Fuse=blown Start-circuit Fuse-inspection =wire-broken Start-engine Power=off Battery Power=low Control-panel Battery-dial=zero Start-circuit Fuse=blown causes Has- manife station
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Inference knowledge Inference knowledge describes the usage of domain knowledge in performing tasks via small reasoning steps Inference knowledge Are functional components defining basic reasoning steps operating on restricted parts of knowledge
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Inference Knowledge select Cover initial- complaint Initial-Complaint complaint hypothesis state Potential- cause Causal model
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Inference Knowledge Domain knowledge play roles in reasoning in: Static role Dynamic role
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Task Knowledge Task definition describes goal of a task, its input and output roles, and their relation. Task body describes how the goal can be achieved by giving sub-goals assumptions and a task expression describing how the task goal can be achieved
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Task Knowledge Task decomposition tree illustrates in a graphical way which subtasks are to perform for performing the main tasks
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Relations Heuristically - diagnosis Generate-hypothesisTest-hypothesis Complaint causal-model state has-manifestation state Cover- initial- complaint Initial- complaint Hypothesis Establis h Hyposet his Consistent- hypothesis Potential- Cause Potential- Cause
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Generic Tasks Generic tasks of Chandrasekaran can used actually to instantiated problem solving methods applied to generic task definition at various level of grain size. e.g. task specification can modeled as generic task (task definition and task body)
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Conclusion A careful study of various knowledge modeling approaches reveals that different approaches are not incompatible, even though their terminology is different. CommonKADS expertise is a solution framework to the expert interaction between several levels of knowledge thus we can introduce a dynamic methodology of providing a solution
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