Knowledge Engineering in a Real World Case-Based Reasoning Application
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Technical ReportDate:
1999-05Citation:
Cunningham, Padraig; Bonzano, Andrea. 'Reasoning Application'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-1999-36, 1999, pp15Download Item:
TCD-CS-1999-36.pdf (PDF) 133.5Kb
Abstract:
Case-Based Reasoning (CBR) has emerged from research in cognitive psychology as a model
of human memory and remembering. It has been embraced by researchers of AI applications as
a methodology that avoids some of the knowledge acquisition and reasoning problems that
occur with other methods for developing knowledge-based systems. In this paper we propose
that, in developing knowledge based systems, knowledge engineering addresses two tasks.
There is a problem analysis task that produces the problem representation and there is the task
of developing the inference mechanism. CBR has an impact on the second of these tasks but
helps less with the first. We argue that in some domains this problem analysis process can be
significant and propose an iterative methodology for addressing it. To evaluate this, we
describe the application of case-based reasoning to the problem of aircraft conflict resolution in
a system called ISAC. We describe the application of this iterative methodology and assess the
knowledge engineering impact of CBR.
Author: Cunningham, Padraig; Bonzano, Andrea
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections:
Series/Report no:
Computer Science Technical ReportTCD-CS-1999-36
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