CommonKads

1. CommonKads Presented By: Aly Aboul Nour Supervised By: Dr. A. Rafea

2. CommonKADS models Problem Definition Organization Model Task Model Agent Model Expertise Model Communication Model Design Model

3. 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

4. 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.

5. 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.

6. Expertise Model Application Knowledge Problem Solving Knowledge Task Knowledge Problem Solving Methods Strategic Knowledge Inference Knowledge Domain Knowledge

7. Expertise Model • Problem Solving knowledge • knowledge on problem solving methods in general and on strategic knowledge • Application knowledge • Task knowledge • Inference knowledge • Domain knowledge

8. 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

9. Domain Knowledge Start-circuit Fuse=blown Battery Power=low Start-engine Power=off Control-panel Battery-dial=zero Start-circuit Fuse-inspection =wire-broken Start-circuit Fuse=blown causes Has-manifestation

10. 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

11. Inference Knowledge select Cover initial- complaint hypothesis Initial-Complaint state complaint Potential- cause Causal model

12. Inference Knowledge • Domain knowledge play roles in reasoning in: • Static role • Dynamic role

14. 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

15. Task Knowledge • Task decomposition tree illustrates in a graphical way which subtasks are to perform for performing the main tasks

16. Relations Heuristically - diagnosis Generate-hypothesis Test-hypothesis Cover-initial-complaint Establish Hyposethis Initial- complaint Hypothesis Consistent- hypothesis Potential- Cause Potential- Cause Complaint causal-model state has-manifestation state

17. 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)

18. 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