For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
In order for parallel logic programming systems to become popular, they should serve the broadest range of applications. To achieve this goal, designers of parallel logic programm...
A new exact algorithm for computing answer sets of logic programs is presented and analyzed. The algorithm takes a logic program in Kernel normal form as an input and computes its ...
Partial functions and operators are used extensively in the formal development of programs and thus development methods have to clarify how to reason about them. There are a numbe...