Abductive Logic Programming is a computationally founded representation of abductive reasoning. In most ALP frameworks, integrity constraints express domain-specic logical relationships that abductive answers are required to satisfy. Integrity constraints are usually known a priori. However, in some applications (such as interactive abductive logic programming, multi-agent interactions, contracting) it makes sense to relax this assumption, in order to let the abductive reasoning start with incomplete knowledge of integrity constraints, and to continue without restarting when new integrity constraints become known. In this paper, we propose a declarative semantics for abductive logic programming with addition of integrity constraints during ...
Constraint Logic Programming (CLP) and Abductive Logic Programming (ALP) share the important concept...
none5SCIFF is an abductive proof procedure ispired by the IFF proof procedure by Fung and Kowalski i...
Abductive Logic Programming (ALP) has been proven very effective for formalizing societies of agents...
Abductive Logic Programming is a computationally founded representation of abductive reasoning. In m...
Abduction is a form of inference that supports hypothetical reasoning and has been applied to a numb...
Abductive Logic Programming (ALP) and Constraint Logic Programming (CLP) share the feature to constr...
Abduction is a form of inference that supports hypothetical reasoning and has been applied to a numb...
We introduce a new proof procedure for abductive logic programming and prove two soundness results....
Recently, Gelfond and Lifschitz presented a formal language for representing incomplete knowledge on...
We propose an operational framework which builds on the classical understanding of abductive reasoni...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
SCIFF is a framework thought to specify and verify interaction in open agent societies. The SCIFF la...
Recent research on the integration of the abductive and constraint logic programming paradigms has l...
The use of integrity constraints to perform Semantic Query-Optimization (SQO) in deductive databases...
SCIFF is a declarative language, based on abductive logic programming, that accommodates forward r...
Constraint Logic Programming (CLP) and Abductive Logic Programming (ALP) share the important concept...
none5SCIFF is an abductive proof procedure ispired by the IFF proof procedure by Fung and Kowalski i...
Abductive Logic Programming (ALP) has been proven very effective for formalizing societies of agents...
Abductive Logic Programming is a computationally founded representation of abductive reasoning. In m...
Abduction is a form of inference that supports hypothetical reasoning and has been applied to a numb...
Abductive Logic Programming (ALP) and Constraint Logic Programming (CLP) share the feature to constr...
Abduction is a form of inference that supports hypothetical reasoning and has been applied to a numb...
We introduce a new proof procedure for abductive logic programming and prove two soundness results....
Recently, Gelfond and Lifschitz presented a formal language for representing incomplete knowledge on...
We propose an operational framework which builds on the classical understanding of abductive reasoni...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
SCIFF is a framework thought to specify and verify interaction in open agent societies. The SCIFF la...
Recent research on the integration of the abductive and constraint logic programming paradigms has l...
The use of integrity constraints to perform Semantic Query-Optimization (SQO) in deductive databases...
SCIFF is a declarative language, based on abductive logic programming, that accommodates forward r...
Constraint Logic Programming (CLP) and Abductive Logic Programming (ALP) share the important concept...
none5SCIFF is an abductive proof procedure ispired by the IFF proof procedure by Fung and Kowalski i...
Abductive Logic Programming (ALP) has been proven very effective for formalizing societies of agents...