AI Magazine
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
A knowledge-intensive, integrated approach to problem solving and sustained learning
A knowledge-intensive, integrated approach to problem solving and sustained learning
Issues in knowledge level modelling
Second generation expert systems
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Towards a methodology for context sensitive systems development
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
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Diagnostic support systems that help solving problems inopen and weak theory domains need to be context-sensitive in order toreveal flexible and efficient behaviour. This paper presents atask-oriented methodology for analysing and modeling contextualknowledge at the knowledge level. We present a context-sensitivediagnosis approach (ConSID) which clarifies the connection betweencontent and process knowledge. The former embodies the domainmodel, while the latter embodies the task and method models. We present aprototypical system, the ConSID-Creek, that applies the ConSID approach tothe medical diagnostic domain. We illustrate how the systemintegrates case-based and explanation-based reasoning paradigms whenrealizing the abductive subtask of the overall diagnostic task.