In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
DAWN is technique for modelling and verifying network algorithms, which is based on Petri nets and temporal logic. In this paper, we present a different perspective of DAWN that al...
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...
We describe origami programming methodology based on constraint functional logic programming. The basic operations of origami are reduced to solving systems of equations which desc...