Implementing KADS Expertise Models with Model-K

Authors:
Angi Voss;Werner Karbach
Affiliations:
-;-
Venue:
IEEE Expert: Intelligent Systems and Their Applications
Year:
1993

Citing 6
Cited 0

Heuristic classification

Artificial Intelligence
Automated generation of model-based knowledge acquisition tools

Automated generation of model-based knowledge acquisition tools
MODEL-K for prototyping and strategic reasoning at the knowledge level

Second generation expert systems
Automating Knowledge Acquisition for Expert Systems

Automating Knowledge Acquisition for Expert Systems
Linking Modeling to Make Sense and Modeling to Implement Systems in an Operational Modeling Environment

Proceedings of the 6th European Knowledge Acquisition Workshop on Current Developments in Knowledge Acquisition: EKAW '92
OFFICE-PLAN: Tackling the Synthesis-Frontier

GWAI '89 Proceedings of the 13th German Workshop on Artificial Intelligence

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Abstract

The KADS (knowledge acquisition and design structuring) system, which guides knowledge engineering using organizational models, task models, expertise models, cooperation models, and design models, is reviewed. Model-K, the result of combining high-level languages with KADS to reach a smoother and speeder transition from the conceptual model to a prototype and the running system, is reviewed. Model-K closes the gap between the knowledge level and the symbolic level, letting developers specify KADS conceptual models and refine them to operational systems. The language lets developers arbitrarily interleave both activities, thereby supporting early prototyping at the highest level. Systems written in model-K contain their own conceptual model, making them more transparent and easier for experts and users to understand and for knowledge engineers to maintain.