Abduction-based diagnosis: a competition-based neural model simulating abductive reasoning
Journal of Parallel and Distributed Computing
An Efficient Multivalued Hopfield Network for the Traveling Salesman Problem
Neural Processing Letters
Approximating the Semantics of Logic Programs by Recurrent Neural Networks
Applied Intelligence
A Procedural Semantics for Multi-adjoint Logic Programming
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
A Multi-adjoint Logic Approach to Abductive Reasoning
Proceedings of the 17th International Conference on Logic Programming
Multi-adjoint Logic Programming: A Neural Net Approach
ICLP '02 Proceedings of the 18th International Conference on Logic Programming
A unified model for abduction-based reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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A neural approach to propositional multi-adjoint logic programming was recently introduced. In this paper we extend the neural approach to multiadjoint deduction and, furthermore, modify it to cope with abductive multiadjoint reasoning, where adaptations of the uncertainty factor in a knowledge base are carried out automatically so that a number of given observations can be adequately explained.