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CL
2000
Springer
14 years 1 months ago
Proving Failure in Functional Logic Programs
How to extract negative information from programs is an important issue in logic programming. Here we address the problem for functional logic programs, from a proof-theoretic pers...
Francisco Javier López-Fraguas, Jaime S&aac...
ENTCS
2006
117views more  ENTCS 2006»
13 years 8 months ago
Reasoning About Imperative Quantum Programs
A logic for reasoning about states of basic quantum imperative programs is presented. The models of the logic are ensembles obtained by attaching probabilities to pairs of quantum...
Rohit Chadha, Paulo Mateus, Amílcar Sernada...
ETAI
2000
84views more  ETAI 2000»
13 years 8 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
IJCAI
2001
13 years 10 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
CLIMA
2006
13 years 10 months ago
An Argumentation-Based Negotiation for Distributed Extended Logic Programs
Abstract. The paradigm of argumentation has been used in the literature to assign meaning to knowledge bases in general, and logic programs in particular. With this paradigm, rules...
Iara Carnevale de Almeida, José Júli...