A formal equivalence between propositional expert systems and decision tables is proved, and a practicable procedure given to perform the transformation between propositional expert systems and decision tables. The method gave an order of magnitude speed increase for a well-known expert system in routine use. The method is very general: adaptations are shown for forward and backward chaining inferencing engines, inexact reasoning, and systems where some facts have a high cost and must be determined only if necessary. A particular application for the decision table representation is in real-time expert systems, since a simple hardware implementation is available which gives further orders of magnitude increase in performance. Finally, the de...
In this report, a decision procedure for intuitionistic propositional logic is presented which is an...
In this paper, we introduce the notion of formal decision context as an extension of formal contexts...
The theoretical approach of this book is to develop a primary survey of the knowledge representation...
Expert systems are a form of highly understandable artificial intelligence that allow humans to trac...
lthough at first sight the decision table looks almost the same as the decision table that arose yea...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
The use of execution time diagnostics in pinpointing ambiguities in decision tables is discussed. It...
AbstractPropositional expert systems classify cases, and can be built in several different forms, in...
On most datasets induction algorithms can generate very accurate classifiers. Sometimes, however, th...
We formally verify consistency aspects of the rule-based expert system of IBM’s System Automation so...
AbstractThe use of decision tables to express concurrent algorithms, and the use of concurrent proce...
Abstract. We evaluate the power of decision tables as a hypothesis space for supervised learning alg...
On most datasets induction algorithms can generate very accurate classifiers. Sometimes, however, t...
This paper presents logical, pedagogical and practical principles for the enhancement, systematic co...
Using ideas from information theory, this paper develops a heuristic algorithm that converts a limit...
In this report, a decision procedure for intuitionistic propositional logic is presented which is an...
In this paper, we introduce the notion of formal decision context as an extension of formal contexts...
The theoretical approach of this book is to develop a primary survey of the knowledge representation...
Expert systems are a form of highly understandable artificial intelligence that allow humans to trac...
lthough at first sight the decision table looks almost the same as the decision table that arose yea...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
The use of execution time diagnostics in pinpointing ambiguities in decision tables is discussed. It...
AbstractPropositional expert systems classify cases, and can be built in several different forms, in...
On most datasets induction algorithms can generate very accurate classifiers. Sometimes, however, th...
We formally verify consistency aspects of the rule-based expert system of IBM’s System Automation so...
AbstractThe use of decision tables to express concurrent algorithms, and the use of concurrent proce...
Abstract. We evaluate the power of decision tables as a hypothesis space for supervised learning alg...
On most datasets induction algorithms can generate very accurate classifiers. Sometimes, however, t...
This paper presents logical, pedagogical and practical principles for the enhancement, systematic co...
Using ideas from information theory, this paper develops a heuristic algorithm that converts a limit...
In this report, a decision procedure for intuitionistic propositional logic is presented which is an...
In this paper, we introduce the notion of formal decision context as an extension of formal contexts...
The theoretical approach of this book is to develop a primary survey of the knowledge representation...