Exploring the intersection of artificial intelligence with society, this book delves into the technical and cognitive challenges presented by emerging AI technologies. It traces their historical origins and examines the ethical and social dilemmas that may arise as AI continues to evolve. Through a comprehensive analysis, it addresses both the opportunities and potential pitfalls of future AI advancements, making it a critical read for understanding the complexities of this transformative field.
Neural Processes and the Construction of Linguistic Meaning
244 Seiten
9 Lesestunden
This book examines the concept of “ Neurosemantics”, a term currently used in two different senses: the informational meaning of the physical processes in the neural circuits, and semantics in its classical sense, as the meaning of language, explained in terms of neural processes. The book explores this second sense of neurosemantics, yet in doing so, it addresses much of the first meaning as well. Divided into two parts, the book starts with a description and analysis of the mathematics of the brain, including computational units, representational mechanisms and algorithmic principles. This first part pays special attention to the neural architecture which has been used in developing models of neurosemantics. The second part of the book presents a collection of models, and describes each model reproducing specific aspects of the semantics of language. Some of these models target one of the core problems of semantics, the reference of nouns, and in particular of nouns with a strong perceptual characterization. Others address the semantics of predicates, with a detailed analysis of colour attributes. While this book represents a radical shift from traditional semantics, it still pursues a line of continuity that is based on the idea that meaning can be captured, and explained, by a sort of computation.
