Millhouse tyler (13 Ergebnisse)

Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Zustand: Fine.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 304 pages. 9.00x6.00x9.00 inches. In Stock.

Zustand: New.

Zustand: NEW.

Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. 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 ownless automatedprocesses 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 bookthe first dedicated to the topic of real patternsTyler 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.…

Paperback. Zustand: Brand New. 304 pages. 9.00x6.00x9.00 inches. In Stock.

Zustand: New. 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 Philosoph.

Taschenbuch. Zustand: Neu. 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 ownless automatedprocesses 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 bookthe first dedicated to the topic of real patternsTyler 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.Easy Access System Europe Oü, 16879218, Mustamäe tee 50, 10621, Tallinn, Estonia, Tallinn 304 pp. Englisch.…

Taschenbuch. Zustand: Neu. Dennett's Real Patterns in Science and Nature | Stephen D. Petersen (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | MIT Press Ltd | EAN 9780262052030 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. 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 ownless automatedprocesses 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 bookthe first dedicated to the topic of real patternsTyler 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. 304 pp. Englisch.…