Contemporary neural networks still fall short of human-level generalization, which extends
far beyond our direct experiences. In this paper, we argue that the underlying cause for this …

John Maynard Smith and Eörs Szathmáry argued that human language signified the eighth
major transition in evolution: human language marked a new form of information …

Despite a multitude of empirical studies, little consensus exists on whether neural networks
are able to generalise compositionally, a controversy that, in part, stems from a lack of …

Much of our understanding of human thinking is based on probabilistic models. This
innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the …

Oxford Cognitive Science Series General Editors: Martin Davies, Wilde Reader in Mental
Philosophy, University of Oxford, UK, James Higginbotham, Professor of General Linguistics …

This is the second part of a two‐part article on compositionality, ie the principle that the
meaning of a complex expression is determined by the meanings of its parts and the way …

This research emphasizes semantic, syntactic and pragmatic considerations illustrating a
wide array of linguistic approaches. Written from within the theoretical framework of …

Anything that deserves to be called a language must contain meaningful expressions built
up from other meaningful expressions. How are their complexity and meaning related? The …

Abstract The Principle of Semantic Compositionality (sometimes called 'Frege's Principle') is
the principle that the meaning of a (syntactically complex) whole is a function only of the …

This philosophical treatise on the foundations of semantics is a systematic effort to clarify,
deepen and defend the classical doctrine that words are conventional signs of mental states …