HypotheticalDatalog is based on an intuitionistic semantics rather than on a classical logic semantics, and embedded implications are allowed in rule bodies. While the usual implication (i.e., the neck of a Horn clause) stands for inferring facts, an embedded implication plays the role of assuming its premise for deriving its consequence. A former work introduced both a formal framework and a goal-oriented tabled implementation, allowing negation in rule bodies. While in that work positive assumptions for both facts and rules can occur in the premise, negative assumptions are not allowed. In this work, we cover this subject by introducing a new concept: a restricted predicate, which allows negative assumptions by pruning the usual semantics...
In symbolic Machine Learning, the incremental setting allows to refine/revise the available model wh...
AbstractThe aim of this paper is to build the relationship between deductive databases with incomple...
Datalog±is a Datalog-based language family enhanced with existential quantification in rule heads, e...
AbstractWe present an extension of Horn-clause logic which can hypothetically add and delete tuples ...
We present an extension of Horn-clause logic which can hypothetically add and delete tuples from a d...
AbstractThis paper addresses a limitation of most deductive database systems: they cannot reason hyp...
This paper shows that classical logic is inappropriate for hypothetical reasoning and develops an al...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
AbstractTwo main approaches have been followed in the literature to give a semantics to non-Horn dat...
Intuitionistic logic programming is an extension of Horn-clause logic programming in which implicati...
Two main approaches have been followed in the literature to give a semantics to non-Horn databases. ...
AbstractThis paper is a study of circumscription, not in classical logic, as usual, but in intuition...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
In this work we generalize the semantics for negation in logic programs, putting together the constr...
The Datalog± family of expressive extensions of Datalog has recently been introduced as a new paradi...
In symbolic Machine Learning, the incremental setting allows to refine/revise the available model wh...
AbstractThe aim of this paper is to build the relationship between deductive databases with incomple...
Datalog±is a Datalog-based language family enhanced with existential quantification in rule heads, e...
AbstractWe present an extension of Horn-clause logic which can hypothetically add and delete tuples ...
We present an extension of Horn-clause logic which can hypothetically add and delete tuples from a d...
AbstractThis paper addresses a limitation of most deductive database systems: they cannot reason hyp...
This paper shows that classical logic is inappropriate for hypothetical reasoning and develops an al...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
AbstractTwo main approaches have been followed in the literature to give a semantics to non-Horn dat...
Intuitionistic logic programming is an extension of Horn-clause logic programming in which implicati...
Two main approaches have been followed in the literature to give a semantics to non-Horn databases. ...
AbstractThis paper is a study of circumscription, not in classical logic, as usual, but in intuition...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
In this work we generalize the semantics for negation in logic programs, putting together the constr...
The Datalog± family of expressive extensions of Datalog has recently been introduced as a new paradi...
In symbolic Machine Learning, the incremental setting allows to refine/revise the available model wh...
AbstractThe aim of this paper is to build the relationship between deductive databases with incomple...
Datalog±is a Datalog-based language family enhanced with existential quantification in rule heads, e...