Logic programming is carried out on a neural network. A higher-order Hopfield neural network is used to minimise logical inconsistency in interpretations of logic clauses or programs. The connection strengths are defined from the logic program; the network relaxes to neural states corresponding to a valid (or near-valid) interpretation. ‘Creativity ’ can be thought of as the crossing of configurational energy barriers to arrive at alternative interpretations. The formalism allows the incorporation of non-monotonicity; non-integral degrees of truth in rules; and non-Horn clauses. Hebbian learning in an environment with some underlying logical rules governing events is equivalent to hardwiring the network with these rules
Neural networks are becoming very popular with data mining practitioners because they have proven th...
The integration of symbolic and neural-network-based artificial intelligence paradigms constitutes ...
Abstract. Bilattice-based annotated logic programs (BAPs) form a very general class of programs whic...
Logic programming is carried out on a neural network. A higher-order Hopfield neural network is used...
Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by ...
This paper presents a new approach to upgrade the performance of logic programming in Hopfield netwo...
Logic program and neural networks are two important perspectives in artificial intelligence. The maj...
topic: The research field of neurosymbolic integration aims at combining the advantages of neural ne...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
The architecture of a neural network with its links and weights can be viewed as a knowledge represe...
AbstractIt is a long-standing and important problem to integrate logic-based systems and connectioni...
There is a gap between two different modes of computation: the symbolic mode and the subsymbolic (ne...
Recent work on neuro-symbolic inductive logic programming has led to promising approaches that can l...
Logic program and neural networks are two important aspects in artificial intelligence. This paper i...
We define a model-theoretic reasoning formal-ism that is naturally implemented on sym-metric neural ...
Neural networks are becoming very popular with data mining practitioners because they have proven th...
The integration of symbolic and neural-network-based artificial intelligence paradigms constitutes ...
Abstract. Bilattice-based annotated logic programs (BAPs) form a very general class of programs whic...
Logic programming is carried out on a neural network. A higher-order Hopfield neural network is used...
Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by ...
This paper presents a new approach to upgrade the performance of logic programming in Hopfield netwo...
Logic program and neural networks are two important perspectives in artificial intelligence. The maj...
topic: The research field of neurosymbolic integration aims at combining the advantages of neural ne...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
The architecture of a neural network with its links and weights can be viewed as a knowledge represe...
AbstractIt is a long-standing and important problem to integrate logic-based systems and connectioni...
There is a gap between two different modes of computation: the symbolic mode and the subsymbolic (ne...
Recent work on neuro-symbolic inductive logic programming has led to promising approaches that can l...
Logic program and neural networks are two important aspects in artificial intelligence. This paper i...
We define a model-theoretic reasoning formal-ism that is naturally implemented on sym-metric neural ...
Neural networks are becoming very popular with data mining practitioners because they have proven th...
The integration of symbolic and neural-network-based artificial intelligence paradigms constitutes ...
Abstract. Bilattice-based annotated logic programs (BAPs) form a very general class of programs whic...