Add to ORKGThis article deals with how metaknowledge can improve rule-based system and presents a new Reflexive System Inference Engine (RSIE) which not only enables the activation of rules, making it belong to systems managing metaknowledge. The experimentation section shows a rule-based system named IDRES with a structure which has been modified to use metaknowledge. I
[[abstract]]Expert system technology becomes more and more important for next generation computer sy...
This thesis is rooted in the field of Inductive Logic Programming (ILP), and, in particular, Meta-In...
Explicit and declarative representation of control knowledge and well-structured knowledge bases are...
International audienceThis paper presents the structure and the performance of a new inference engin...
International audienceThis study presents the structure and the performance of a new inference engin...
This paper describes the design and implementation of the reasoning engine developed for the interpr...
This paper presents a model-driven method for machine learning of inference rules, which involves bo...
Abstract: Rules are one of the most important knowledge repre-sentation methods. Rule-based expert s...
Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intel...
TEntEsuis is a program designed to provide assistance on the task of building knowledge-based system...
This manifesto proposes a simple model of metareasoning that constitutes a general framework to orga...
All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other mean...
Declarative systems aim at solving tasks by running inference engines on a specification, to free it...
Essential to intelligent programs is computational epistemology. Expert systems, derive their comput...
We introduce the game of complex adaptive reasoning (CAR), as a self-correcting methodology for know...
[[abstract]]Expert system technology becomes more and more important for next generation computer sy...
This thesis is rooted in the field of Inductive Logic Programming (ILP), and, in particular, Meta-In...
Explicit and declarative representation of control knowledge and well-structured knowledge bases are...
International audienceThis paper presents the structure and the performance of a new inference engin...
International audienceThis study presents the structure and the performance of a new inference engin...
This paper describes the design and implementation of the reasoning engine developed for the interpr...
This paper presents a model-driven method for machine learning of inference rules, which involves bo...
Abstract: Rules are one of the most important knowledge repre-sentation methods. Rule-based expert s...
Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intel...
TEntEsuis is a program designed to provide assistance on the task of building knowledge-based system...
This manifesto proposes a simple model of metareasoning that constitutes a general framework to orga...
All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other mean...
Declarative systems aim at solving tasks by running inference engines on a specification, to free it...
Essential to intelligent programs is computational epistemology. Expert systems, derive their comput...
We introduce the game of complex adaptive reasoning (CAR), as a self-correcting methodology for know...
[[abstract]]Expert system technology becomes more and more important for next generation computer sy...
This thesis is rooted in the field of Inductive Logic Programming (ILP), and, in particular, Meta-In...
Explicit and declarative representation of control knowledge and well-structured knowledge bases are...