Tyler millhouse (35 risultati)

Paperback. Condizione: 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. Condizione: Fine.

Condizione: New.

paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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

Condizione: New.

Condizione: New.

Paperback. Condizione: New.

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

paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. 2026. paperback. . . . . .

Condizione: new.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: NEW.

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

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: 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. Condizione: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: New.

Condizione: 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.

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

Taschenbuch. Condizione: 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.…