2084 search results - page 126 / 417 » Set Constraints in Logic Programming |
AAAI
2008
13 years 10 months ago
2008
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
EUROPAR
2004
Springer
14 years 1 months ago
2004
Springer
Tabling is an implementation technique that improves the declarativeness and expressiveness of Prolog by reusing answers to subgoals. The declarative nature of tabled logic program...
DALT
2006
Springer
13 years 12 months ago
2006
Springer
Goals are used to define the behavior of (pro-active) agents. It is our view that the goals of an agent can be seen as a knowledge base of the situations that it wants to achieve. ...
IWINAC
2005
Springer
14 years 1 months ago
2005
Springer
The framework of multi-adjoint logic programming has shown to cover a number of approaches to reason under uncertainty, imprecise data or incomplete information. In previous works,...
ILP
1998
Springer
14 years 12 days ago
1998
Springer
Abstract. Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of in...