The individual cognitive science disciplines all have contributions to make to the understanding and modelling of human learning. Our previous research has explored unsupervised learning of phonology, morphology and low-level syntax, as well as basic noun, verb and preposition ontology and semantics, plus musical and speech prosody. Successful applications using a mix of supervised and unsuperv...

This paper is concerned with the problem of what ontological knowledge underlies the semantic structures of natural language. It discusses some proposals made by workers in philosophy, linguistics, cognitive science and artificial intelligence in the last few years. Section 1 sketches the basic view in regard to the relationship between ontology and semantics. Section 2 points out the importanc...

Analogical reasoning plays an important role in the context of higher cognitive abilities of humans. Analogies can be used not only to explain reasoning abilities of humans, but also to explain learning from sparse data, creative problem solving, abstractions of concrete situations, and recognition of formerly unseen situations, just to mention some examples. Research in AI and cognitive scienc...

This paper unifies and/or generalizes several approaches to information, including the information flow of Barwise and Seligman, the formal conceptual analysis of Wille, the lattice of theories of Sowa, the categorical general systems theory of Goguen, and the cognitive semantic theories of Fauconnier, Turner, Gärdenfors, and others. Its rigorous approach uses category theory to achieve indepen...

We discuss the various explanations that have been offered to account for subjects’ behaviour in Wason’s famous selection task, and find them wanting. We argue that what is lacking is a good understanding of a subject’s semantics for the key expressions involved, and an understanding of how this semantics is affected by the demands the task puts upon the subject’s cognitive system.