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» Hybridizing a Logical Framework
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AAAI
2004
15 years 6 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
AIIA
2005
Springer
15 years 10 months ago
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
ECSQARU
2005
Springer
15 years 10 months ago
A Possibilistic Inconsistency Handling in Answer Set Programming
Abstract. Both in classical logic and in Answer Set Programming, inconsistency is characterized by non existence of a model. Whereas every formula is a theorem for inconsistent set...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
COMPASS
1994
15 years 8 months ago
Equations for Describing Dynamic Nets of Communicating Systems
We give a notation and a logical calculus for the description and deductive manipulation of dynamic networks of communicating components. We represent such nets by hierarchical sys...
Manfred Broy
ATAL
2007
Springer
15 years 8 months ago
Negotiation by abduction and relaxation
This paper studies a logical framework for automated negotiation between two agents. We suppose an agent who has a knowledge base represented by a logic program. Then, we introduc...
Chiaki Sakama, Katsumi Inoue