[PDF][PDF] Nonmonotonic inferences in neural networks

C Balkenius, P Gärdenfors - KR, 1991 - Citeseer
We show that by introducing an appropriate schema concept and exploiting the higher-level
features of a resonance function in a neural network it is possible to define a form of …

Nonmonotonic reasoning by inhibition nets

H Leitgeb - Artificial Intelligence, 2001 - Elsevier
In this paper we will show that certain networks called 'inhibition nets' may be regarded as
cognitive agents drawing nonmonotonic inferences. It will be proven that the system CL …

Nonmonotonic inferences and neural networks

R Blutner - Synthese, 2004 - Springer
There is a gap between two different modes of computation: the symbolic mode and the
subsymbolic (neuron-like) mode. The aim of this paper is to overcome this gap by viewing …

Nonmonotonic reasoning by inhibition nets II

H Leitgeb - International Journal of Uncertainty, Fuzziness and …, 2003 - World Scientific
This paper is a sequel to Leitgeb7. We show that certain networks called'inhibition nets' may
be regarded as mechanisms drawing nonmonotonic inferences if only an interpretation of …

On neural-logic networks

SC Chan, LS Hsu, HH Teh - 1988 - scholarbank.nus.edu.sg
The paper consists of two parts. The first part describes a class of networks called inference
networks. An inference network is a directed graph with'primitive','OR','AND'and'NOT'nodes.' …

[PDF][PDF] The logic of neural networks

JL Castro, E Trillas - Mathware and Soft Computing, 1998 - researchgate.net
This paper establishes the equivalence between multilayer feedforward networks and linear
combinations of Lukasiewicz propositions. In this sense, multilayer forward networks have a …

Artificial nonmonotonic neural networks

B Boutsinas, MN Vrahatis - Artificial Intelligence, 2001 - Elsevier
In this paper, we introduce Artificial Nonmonotonic Neural Networks (ANNNs), a kind of
hybrid learning systems that are capable of nonmonotonic reasoning. Nonmonotonic …

[PDF][PDF] Propositional non-monotonic reasoning and inconsistency in symmetric neural networks

G Pinkas - 1991 - openscholarship.wustl.edu
We define a notion of reasoning using world-rank-functions, independently of any symbolic
language. We then show that every symmetric neural network (like Hopfield networks or …

Logic programming on a neural network

WATW Abdullah - International journal of intelligent systems, 1992 - Wiley Online Library
We propose a method of doing logic programming on a Hopfield neural network.
Optimization of logical consistency is carried out by the network after the connection …

General patterns in nonmonotonic reasoning

D Makinson - 1994 - philpapers.org
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