FO(·)IDP3 extends first-order logic with inductive definitions, partial functions, types and aggregates. Its model generator IDP3 first grounds the theory and then uses search to find the models. The grounder uses Lifted Unit Propagation (LUP) to reduce the size of the groundings of problem specifications in IDP3. LUP is in general very effective, but performs poorly on definitions of predicates whose two-valued interpretation can be computed from data in the input structure. To solve this problem, a preprocessing step is introduced that converts such definitions to Prolog code and uses XSB Prolog to compute their interpretation. The interpretation of these predicates is then added to the input structure and their definitions are removed fr...
Abstract. We present a Logic Programming prototype implementation working as proof-of-concept for a ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
Declarative systems aim at solving tasks by running inference engines on a specification, to free it...
FO(·)IDP3 is a declarative modeling language that extends first-order logic with inductive definitio...
per Predicate Logic as a Programming Language was a breakthrough for the use of logic in computer sc...
This paper provides a gentle introduction to problem solving with the IDP3 system. The core of IDP3 ...
This paper provides a gentle introduction to problem solving with the IDP3 system. The core of IDP3 ...
This paper presents the IDP system, a finite model generator for extended first-order logic theories...
The traditional approach to model expansion (generating models of a logic theory extending a partial...
In answer-set programming (ASP), programs can be viewed as specifications of finite Herbrand structu...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Abstract. The model expansion (MX) search problem consists of find-ing models of a given theory T th...
In Answer Set Programming (ASP), programs can be viewed as specifications of finite Herbrand structu...
© 2016, Ohmsha and Springer Japan. Declarative systems aim at solving tasks by running inference eng...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Abstract. We present a Logic Programming prototype implementation working as proof-of-concept for a ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
Declarative systems aim at solving tasks by running inference engines on a specification, to free it...
FO(·)IDP3 is a declarative modeling language that extends first-order logic with inductive definitio...
per Predicate Logic as a Programming Language was a breakthrough for the use of logic in computer sc...
This paper provides a gentle introduction to problem solving with the IDP3 system. The core of IDP3 ...
This paper provides a gentle introduction to problem solving with the IDP3 system. The core of IDP3 ...
This paper presents the IDP system, a finite model generator for extended first-order logic theories...
The traditional approach to model expansion (generating models of a logic theory extending a partial...
In answer-set programming (ASP), programs can be viewed as specifications of finite Herbrand structu...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Abstract. The model expansion (MX) search problem consists of find-ing models of a given theory T th...
In Answer Set Programming (ASP), programs can be viewed as specifications of finite Herbrand structu...
© 2016, Ohmsha and Springer Japan. Declarative systems aim at solving tasks by running inference eng...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Abstract. We present a Logic Programming prototype implementation working as proof-of-concept for a ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
Declarative systems aim at solving tasks by running inference engines on a specification, to free it...