This paper presents a new system, called the A-System, performing abductive reasoning within the framework of Abductive Logic Programming. It is based on a hybrid computational model that imple-ments the abductive search in terms of two tightly coupled processes: a reduction process of the high-level logical representation to a lower-level con-straint store and a lower-level constraint solving process. A set of initial ”proof of principle ” ex-periments demonstrate the versatility of the ap-proach stemming from its declarative representa-tion of problems and the good underlying compu-tational behaviour of the system. The approach of-fers a general methodology of declarative problem solving in AI where an incremental and modular re-finement ...
This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an ar...
Logic programming with negation offers a compelling approach to abductive reasoning. This paper show...
The representation language of Machine Learning has undergone a substantial evolution, starting fro...
This paper presents a new system, called the A-System, performing abductive reasoning within the fra...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
Abduction in Logic Programming started in the late 80s, early 90s, in an attempt to extend logic pro...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
AbstractThis paper presents the framework of Abductive Constraint Logic Programming (ACLP), which in...
We propose an approach for the integration of abduction and induction in Logic Programming. We defi...
Logic programming with negation offers a compelling ap-proach to abductive reasoning. This paper sho...
A long outstanding problem for abduction in logic programming has been on how minimality might be de...
Abduction is a logical inference technique used in explanation finding and a variety of consequence ...
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic progr...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an ar...
Logic programming with negation offers a compelling approach to abductive reasoning. This paper show...
The representation language of Machine Learning has undergone a substantial evolution, starting fro...
This paper presents a new system, called the A-System, performing abductive reasoning within the fra...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
Abduction in Logic Programming started in the late 80s, early 90s, in an attempt to extend logic pro...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
AbstractThis paper presents the framework of Abductive Constraint Logic Programming (ACLP), which in...
We propose an approach for the integration of abduction and induction in Logic Programming. We defi...
Logic programming with negation offers a compelling ap-proach to abductive reasoning. This paper sho...
A long outstanding problem for abduction in logic programming has been on how minimality might be de...
Abduction is a logical inference technique used in explanation finding and a variety of consequence ...
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic progr...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an ar...
Logic programming with negation offers a compelling approach to abductive reasoning. This paper show...
The representation language of Machine Learning has undergone a substantial evolution, starting fro...