Applying the REKAP Methodology to Situation Assessment

This paper outlines a principled methodology, based on KADS, for generating runnable expert system knowledge-bases from the output of high-level knowledge acquisition tools. This methodology is based upon a synthesis of earlier work arising from the UK CONSENSUS, ESPRIT P2576 ACKNOWLEDGE and P5365 VITAL projects. REKAP integrates knowledge elicitation techniques, real-time structured analysis and a model of the the desired run-time architecture within a common framework based upon extensions to the original KADS four-layer model of expertise. The methodology has been realised as a compiler between ProtoKEW, a knowledge acquisition toolkit, structured task-analysis tools and MUSE, a real-time expert system shell. The paper focuses on a particular example of the use of the methodology, in the domain of situation assessment.

[1]  Guy A. Boy,et al.  Knowledge Acquisition in Dynamic Systems: How Can Logicism and Situatedness Go Together? , 1993, EKAW.

[2]  Nigel Shadbolt,et al.  Locating generic tasks , 1993 .

[3]  Kieron O'Hara,et al.  A Representation of KADS-I Interpretation Models Using a Decompositional Approach , 1993 .

[4]  A. L. Kidd,et al.  Knowledge acquisition for expert systems: a practical handbook , 1987 .

[5]  Nigel Shadbolt,et al.  Supporting Knowledge Acquisition: The ACKnowledge Project , 1992 .

[6]  Nigel Shadbolt,et al.  CNN: Integrating Knowledge Elicitation With a Machine Learning Technique , 1992 .

[7]  Nigel Shadbolt,et al.  KA process support through generalised directive models , 1993 .

[8]  Thomas Wetter,et al.  Contemporary Knowledge Engineering and Cognition , 1992, Lecture Notes in Computer Science.

[9]  B. Chandrasekaran,et al.  Generic tasks as building blocks for knowledge-based systems: the diagnosis and routine design examples , 1988, The Knowledge Engineering Review.

[10]  Brian R. Gaines,et al.  An Interactive Knowledge-Elicitation Technique Using Personal Construct Technology , 1987 .

[11]  Nigel Shadbolt,et al.  Using Generalised Directive Models in Knowledge Acquisition , 1992, EKAW.

[12]  Han Reichgelt,et al.  ALTO: An automated laddering tool. , 1990 .

[13]  Nigel Shadbolt,et al.  AI Models as a Variety of Psychological Explanation , 1993, IJCAI.

[14]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[15]  Nigel Shadbolt,et al.  Knowledge Acquisition Process Support Through Generalised Directive Models , 1993 .

[16]  Enrico Motta,et al.  Constructing knowledge-based systems , 1993, IEEE Software.

[17]  Nigel Shadbolt,et al.  Facts, Fantasies and Frameworks: The Design of a Knowledge Acquisition Workbench , 1991, Contemporary Knowledge Engineering and Cognition.

[18]  Derek J. Hatley,et al.  Strategies for Real-Time System Specification , 1987 .

[19]  Brian R. Gaines,et al.  Current Trends in Knowledge Acquisition , 1990 .

[20]  Iain D. Craig,et al.  The Cassandra architecture: distributed control in a blackboard system , 1989 .