AbstractThis paper discusses several equivalence issues in abduction and induction. Three different problems: equivalence of theories, equivalence of explanations, and equivalence of observations are considered in the context of first-order logic and nonmonotonic logic programming. Necessary and sufficient conditions for those problems, and computational complexity results are provided. These equivalence measures provide methods for comparing different abductive or inductive theories, and also state conditions for optimizing those theories in program development
Atocha Aliseda gives in Abductive Reasoning (2006) a structural characterization of the forward expl...
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic progr...
AbstractA new fixpoint semantics for abductive logic programs is provided, in which the belief model...
We propose an integration of abduction and induction where the two inference processes cooperate in...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
We investigate how abduction and induction can be integrated into a common learning framework. In pa...
We propose an approach for the integration of abduction and induction in Logic Programming. We defi...
We investigate how abduction and induction can be integrated into a common learning framework throug...
This paper discusses the integration of traditional abductive and inductive reasoning methods in the...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
Ph.D.ThesisIn order to capture the nature of inference, a philosopher Peirce classified inference in...
The purpose of this piece is to provide a critical analysis on some key aspects of abduction, as con...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
We proposes an integrated framework of inductive generalization and abductive reasoning. In this fra...
Atocha Aliseda gives in Abductive Reasoning (2006) a structural characterization of the forward expl...
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic progr...
AbstractA new fixpoint semantics for abductive logic programs is provided, in which the belief model...
We propose an integration of abduction and induction where the two inference processes cooperate in...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
We investigate how abduction and induction can be integrated into a common learning framework. In pa...
We propose an approach for the integration of abduction and induction in Logic Programming. We defi...
We investigate how abduction and induction can be integrated into a common learning framework throug...
This paper discusses the integration of traditional abductive and inductive reasoning methods in the...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
Ph.D.ThesisIn order to capture the nature of inference, a philosopher Peirce classified inference in...
The purpose of this piece is to provide a critical analysis on some key aspects of abduction, as con...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
We proposes an integrated framework of inductive generalization and abductive reasoning. In this fra...
Atocha Aliseda gives in Abductive Reasoning (2006) a structural characterization of the forward expl...
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic progr...
AbstractA new fixpoint semantics for abductive logic programs is provided, in which the belief model...