Structured Development of Problem Solving Methods
IEEE Transactions on Knowledge and Data Engineering
A Constraint-Based Approach to the Description of Competence
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Formally Verifying Dynamic Properties of Knowledge Based Systems
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
The unified problem-solving method development language UPML
Knowledge and Information Systems
A software architecture for knowledge-based systems
The Knowledge Engineering Review
Knowledge maintenance: the state of the art
The Knowledge Engineering Review
Problem-solving methods: understanding, description, development, and reuse
Problem-solving methods: understanding, description, development, and reuse
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Building knowledge-based systems from reusable elements is a key factor in developing them economically. However, one has to ensure that the assumptions and functionality of the reused building block fit together with each other and the specific circumstances of the actual problem and knowledge. We use the Karlsruhe Interactive Verifier (KIV) for this purpose. We show how the verification of conceptual and formal specifications of knowledge-based systems can be performed with it. KIV was originally developed for the verification of procedural programs but it serves well for verifying knowledge-based systems. Its specification language is based on abstract data types for the functional specification of components and dynamic logic for the algorithmic specification. It provides an interactive theorem prover integrated into a sophisticated tool environment supporting aspects like the automatic generation of proof obligations, generation of counter examples, proof management, proof reuse etc. Such a support is essential for making the verification of complex specifications feasible. We provide some examples on how to specify and verify tasks, problem-solving methods, and their relationships.