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» Hybridizing a Logical Framework
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AAAI
2004
15 years 8 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
16 years 2 days 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
16 years 2 days 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 10 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 10 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