Natural languages can express some logical propositions that humans are able to understand. We illustrate this fact with a famous text that Conan Doyle attributed to Holmes: “It is an old maxim of mine that when you have excluded the impossible, whatever remains, however improbable, must be the truth”. This is a subtle logical statement usually felt as an evident true. The problem we are trying to solve is the cognitive reason for such a feeling. We postulate here that we accept Holmes’ maxim as true because our adult brains are equipped with neural modules that perform naturally modal logical computations
Our approach to mind-design derives from the view of language as a mirror of mind – a view compatibl...
This paper is based on our previous work on neural coding. It is a self-organized model supported by...
In this paper, I will show that Sherlock Holmes was a good logician, according to the standard of th...
Natural languages can express some logical propositions that humans are able to understand. We illus...
Natural languages can express some logical propositions that humans are able to understand. We illus...
Natural languages can express some logical propositions that humans are able to understand. We illus...
We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic ...
This thesis moves towards reconciliation of two of the major paradigms of artificial intelligence: b...
We sketch four applications of Marr’s levels-of-analysis methodology to the relations between logic ...
The present paper is part of a large research programme investigating the nature and properties of t...
AbstractModal logics are amongst the most successful applied logical systems. Neural networks were p...
We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic ...
Abstract — As predicted by the Theory of the Unicogse, any logic systems are merely media of TRUTH. ...
Knowledge representation and reasoning in neural networks has been a long-standing endeavour which h...
Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to ...
Our approach to mind-design derives from the view of language as a mirror of mind – a view compatibl...
This paper is based on our previous work on neural coding. It is a self-organized model supported by...
In this paper, I will show that Sherlock Holmes was a good logician, according to the standard of th...
Natural languages can express some logical propositions that humans are able to understand. We illus...
Natural languages can express some logical propositions that humans are able to understand. We illus...
Natural languages can express some logical propositions that humans are able to understand. We illus...
We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic ...
This thesis moves towards reconciliation of two of the major paradigms of artificial intelligence: b...
We sketch four applications of Marr’s levels-of-analysis methodology to the relations between logic ...
The present paper is part of a large research programme investigating the nature and properties of t...
AbstractModal logics are amongst the most successful applied logical systems. Neural networks were p...
We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic ...
Abstract — As predicted by the Theory of the Unicogse, any logic systems are merely media of TRUTH. ...
Knowledge representation and reasoning in neural networks has been a long-standing endeavour which h...
Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to ...
Our approach to mind-design derives from the view of language as a mirror of mind – a view compatibl...
This paper is based on our previous work on neural coding. It is a self-organized model supported by...
In this paper, I will show that Sherlock Holmes was a good logician, according to the standard of th...