Dennett's Real Patterns in Science and Nature

Stephen D. Petersen

ISBN 10: 0262052032 / ISBN 13: 9780262052030

Editore: MIT Press Ltd Mär 2026, 2026

Riguardo questo articolo

Neuware - How the concept of a pattern, as understood in information science and applied in contemporary AI, can address deep questions in science and philosophy.The explosive growth of AI and machine learning in recent decades is predicated on the recognition and exploitation of patterns in data. Of course, scientists have engaged in their own less automated processes of pattern recognition since the birth of science itself, and biological organisms evolved their own neural networks for pattern recognition long before people and their technology came along.In his seminal work, "Real Patterns," philosopher and cognitive scientist Daniel Dennett laid out a road map for connecting the idea of "patterns" as understood by information theory to the practices of scientists and to our own cognitive capacity to model and predict the world around us. In this book the first dedicated to the topic of real patterns Tyler Millhouse, Steve Petersen, and Don Ross follow this road map. They explore the relevance of patterns to important aspects of both science and nature, including the emergence of high-level structure in physics, the nature of biological species, the measurement of welfare in economics, the evaluation of causal models, and the possibility of understanding in large neural networks.

Codice articolo 9780262052030

Dati bibliografici

• Titolo: Dennett's Real Patterns in Science and Nature
• Editore: MIT Press Ltd Mär 2026
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 0262052032
• ISBN 13: 9780262052030
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 229 L x 152 A x 0 P (millimetri) 229 millimetri di larghezza per 152 millimetri di altezza per 0 millimetri di profondità
• Peso: 369 grammi

Descrizione articolo

Riassunto

How the concept of a pattern, as understood in information science and applied in contemporary AI, can address deep questions in science and philosophy.

The explosive growth of AI and machine learning in recent decades is predicated on the recognition and exploitation of patterns in data. Of course, scientists have engaged in their own—less automated—processes of pattern recognition since the birth of science itself, and biological organisms evolved their own neural networks for pattern recognition long before people and their technology came along.

In his seminal work, “Real Patterns,” philosopher and cognitive scientist Daniel Dennett laid out a road map for connecting the idea of “patterns” as understood by information theory to the practices of scientists and to our own cognitive capacity to model and predict the world around us. In this book—the first dedicated to the topic of real patterns—Tyler Millhouse, Steve Petersen, and Don Ross follow this road map. They explore the relevance of patterns to important aspects of both science and nature, including the emergence of high-level structure in physics, the nature of biological species, the measurement of welfare in economics, the evaluation of causal models, and the possibility of understanding in large neural networks.

Informazioni sull?autore

Tyler Millhouse is Assistant Professor of Practice in the College of Information Science at the University of Arizona. His work has appeared in leading journals, such as the Australasian Journal of Philosophy, The British Journal for the Philosophy of Science, and Philosophy of Science.

Steve Petersen is Professor of Philosophy at Niagara University. His work has appeared in journals like Philosophical Studies and Synthese, and in collections like The Ethics of Artificial Intelligence. He has been supported by the Survival and Flourishing Fund, the Center for Effective Altruism’s Long-Term Future Fund, the Future of Life Institute, and the Center for AI Safety.

Don Ross is Professor in the School of Society, Politics, and Ethics at University College Cork, Ireland; Professor in the School of Economics at the University of Cape Town, South Africa; and Program Director for Methodology at the Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta. He is an author or editor of 20 books, including Every Thing Must Go (with James Ladyman) and most recently The Gambling Animal (with Glenn Harrison).