1. Case-Based Reasoning, 1993, Ch12 Kolodner Controlling Adaptation Advisor : Dr. C.S. Ho Student : L.W. Pan No. : M8702048 Date : 4/7/2000

2. 4/7/2000Li-we Pan2 Identify what needs to be fixed 1.Differences 2.Checklist –More complex inference to be derived 3.Inconsistencies (constraints?) 4.Projection of the results –Model based, Case-based, simulation-based 5.Causal analysis feedback 6.Compensatory adaptation

3. 4/7/2000Li-we Pan3 Choose adaptation strategy 1.Identify exactly what to change –Connectedness –Centrality –Closeness of substitute 2.Finding an appropriate adaptation or repair strategy –Some methods identifying what need to be adapted -> carry out adaptation –Some items are associated with close substitutes

4. 4/7/2000Li-we Pan4 –Some adaptation heuristics are indexed according to the situations in which they are applicable 3.Choosing between several appropriate adaptation strategies –Try more specifically applicable adaptations before more general ones –Attempt easy strategies before harder ones –Choose strategies that have more likelihood of succeeding over those that are more prone to failure

5. 4/7/2000Li-we Pan5 Choose what gets ADAPT & the method of adaptation Case-based adaptation Using execution-time feedback Using critics to control adaptation

6. 4/7/2000Li-we Pan6 About paper Name: Using Induction Tree to solve Case Adaptation (in CBR) 以歸納樹解決（範例式推理中）範例改編問題 Question: –Apply in medicine or more generalize –Structure components put into a feature- value –“NA” -> more 2 value –What need simulation

7. 4/7/2000Li-we Pan7 Paper index Abstract 1.Induction 2.CBR and Case adaptation –2.1 what is CBR and CBR cycle –2.2 Case adaptation and why it is so hard –2.3 Other methods used in case adaptation 3.Induction tree and Expected utility –3.1 case represent & retrieval –3.2 crate tree –3.3 difference vector(DV) and Expected utility(EU)

8. 4/7/2000Li-we Pan8 Cont. –3.4 solve constraint(causal relation) 4. Adaptation Tree in case adaptation –4.1 prune tree –4.2 feature plan and case plan –4.3 select adaptation methods –4.4 case learning and knowledge discovery 5. Simulation 6. Conclusion and Feature work References