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Intro ] [ 33-Functional First ] [ 34-Functional CBR ] [ 35-Functional Survey ]

Up: AI in Design ]

Critique: A Model-Based Approach to Case Adaptation
Goel *

      Here we see again the idea that more knowledge stored in a design case, the better. This approach adds knowledge in the form of a qualitative model. Also present in this approach is a high degree of cross-indexing between the different kinds of knowledge stored in a case and the qualitative models and modification-generation plans in the system.

      The main mechanism for modifying or adapting design cases is the use of families of modification-generation plans. It is unclear from where these plans originate though. One can only assume they are generated manually by a domain expert.

      I was disappointed that the method by which cases are retrieved was not discussed in any detail. This seems pivotal to the operation of the system, especially from the model-based case adaptation point of view. A case should be retrieved that is the best fit for the new design problem at hand. This measure of fit must take into account the differences between the function(s) provided by the retrieved design and the function(s) required by the new design problem. The identification of these differences leads then to selecting/generating a plan to modify the retrieved case to fit the new problem. Yet there is no discussion past stating a case is retrieved. This is an integral part, as it is in all means-ends analysis techniques.

      This article does illustrate the power and utility of using qualitative knowledge and functional reasoning within a case-based reasoning design system. By not relying solely on the structure of a design but including its purpose, how the stored designs provide function, the effort needed to solve a new design problem can be better focused to achieve results more efficiently.


* Ashok K. Goel, A Model-Based Approach to Case Adaptation, Proc. Conference of the Cognitive Science Society, pp. 143-148, 1991.

Intro
01-DPMED
02-Dominic
03-DSPL Air-Cyl
04-Pride
05-COSSACK
06-MICOM-M1
07-Configuration Survey
08-Dynamic CSP
09-MOLGEN
10-Failure Handling
11-VT
12-Conflict Resolution
13-Cooperative Negotiation
14-Negotiated Search
15-Multiagent Design
16-Prototypes
17-CBR Survey
18-PROMPT
19-A Design
20-Bogart
21-Cadet
22-Argo
23-Analogy Creativity Survey
24-Algorithm Design
25-AM
26-Edison
27-LEAP
28-Plan Compilation
29-ML Survey
30-Strain Gauge
31-Grammar
32-Config GA
33-Functional First
34-Functional CBR
35-Functional Survey
36-Models
37-First Principles
38-Config Spaces
39-Task Analysis

by: Keith A. Pray
Last Modified: August 13, 2004 8:04 PM
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