Abstract
A class of Probabilistic Abductive Logic Programs (PALPs) is introduced
and an implementation is developed in CHR for solving
abductive problems, providing minimal explanations with their
probabilities.
Both all-explanations and most-probable-explanations versions are given.
%
Compared with other probabilistic versions of
abductive logic programming, the approach is characterized by
higher generality and a flexible and adaptable
architecture which incorporates integrity constraints and interaction
with external constraint solvers.
%
A PALP is translated in a systematic way into a CHR program which serves
as a query interpreter, and the resulting CHR code describes in a highly
concise way, the strategies applied in the search for explanations.
and an implementation is developed in CHR for solving
abductive problems, providing minimal explanations with their
probabilities.
Both all-explanations and most-probable-explanations versions are given.
%
Compared with other probabilistic versions of
abductive logic programming, the approach is characterized by
higher generality and a flexible and adaptable
architecture which incorporates integrity constraints and interaction
with external constraint solvers.
%
A PALP is translated in a systematic way into a CHR program which serves
as a query interpreter, and the resulting CHR code describes in a highly
concise way, the strategies applied in the search for explanations.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 2008 |
| Antal sider | 15 |
| Status | Udgivet - 2008 |
| Begivenhed | CSCLP 2008Annual ERCIM Workshop onConstraint Solving and Constraint Logic Programming - Rom, Italien Varighed: 18 jun. 2008 → 20 jun. 2008 |
Konference
| Konference | CSCLP 2008Annual ERCIM Workshop onConstraint Solving and Constraint Logic Programming |
|---|---|
| Land | Italien |
| By | Rom |
| Periode | 18/06/2008 → 20/06/2008 |