Abstract. Context dependency of knowledge models brings with it several problems: the unreliability of knowledge-based systems, maintenance costs, and limitations on sharing and reuse. Problem-solving methods are knowledge models of the reasoning process of knowledge-based systems. In this paper we present a method called inverse verification to deal with the context dependency of problem-solving methods. Inverse verification investigates the context dependency of a method by making underlying assumptions explicit. It uses failed proof attempts as a search method for assumptions and an analysis of these failures for constructing and refining assumptions
When reasoning about reasoning, one often needs to carry out some proof steps within a different the...
gamble @ euler.mcs.utulsa.edu Formal methods employ mathematical techniques to prove a program satis...
AbstractContexts are sets of formulas used to manage the assumptions that arise in the course of a m...
Abstract. Problem-solving methods are means to describe the inference process of knowledge-based sys...
. Mostly, papers on problem-solving methods focus on the description of reasoning strategies and dis...
International audienceContext-awareness is an important feature in system design. We argue th...
International audienceIn proof systems and conceptual modelling, context-awareness should be pre- ci...
This paper addresses the problem of the automated verification of constraint-based systems, This iss...
Pervasive computing is a paradigm that focuses on availability and non-intrusive integration of comp...
The paper attempts a step in the direction of competence theories of reusable problem-solving method...
We argue that mathematical knowledge is context dependent. Our main argument is that on pain of dist...
We argue that mathematical knowledge is context dependent. Our main argument is that on pain of dist...
Anomalies such as redundant, contradictory, or deficient knowledge in a knowledge base indicate poss...
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose...
: We argue that rather than representing an agent's knowledge as a collection of formulas, and ...
When reasoning about reasoning, one often needs to carry out some proof steps within a different the...
gamble @ euler.mcs.utulsa.edu Formal methods employ mathematical techniques to prove a program satis...
AbstractContexts are sets of formulas used to manage the assumptions that arise in the course of a m...
Abstract. Problem-solving methods are means to describe the inference process of knowledge-based sys...
. Mostly, papers on problem-solving methods focus on the description of reasoning strategies and dis...
International audienceContext-awareness is an important feature in system design. We argue th...
International audienceIn proof systems and conceptual modelling, context-awareness should be pre- ci...
This paper addresses the problem of the automated verification of constraint-based systems, This iss...
Pervasive computing is a paradigm that focuses on availability and non-intrusive integration of comp...
The paper attempts a step in the direction of competence theories of reusable problem-solving method...
We argue that mathematical knowledge is context dependent. Our main argument is that on pain of dist...
We argue that mathematical knowledge is context dependent. Our main argument is that on pain of dist...
Anomalies such as redundant, contradictory, or deficient knowledge in a knowledge base indicate poss...
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose...
: We argue that rather than representing an agent's knowledge as a collection of formulas, and ...
When reasoning about reasoning, one often needs to carry out some proof steps within a different the...
gamble @ euler.mcs.utulsa.edu Formal methods employ mathematical techniques to prove a program satis...
AbstractContexts are sets of formulas used to manage the assumptions that arise in the course of a m...