Name: The Organism Is a Theory Volume 77. Giuseppe Longo on Biology, Mathematics, and AI
Price: 1690.00 UYU
Availability: InStock
Author: Adam Nocek;Giuseppe Longo
ISBN: 9781517920500

portada The Organism Is a Theory Volume 77. Giuseppe Longo on Biology, Mathematics, and AI

The Organism Is a Theory Volume 77. Giuseppe Longo on Biology, Mathematics, and AI

Formato

Libro Físico

Editorial

University of Minnesota Press

Autor

Adam Nocek;Giuseppe Longo

Colección

Posthumanities

Año

2026

N° páginas

328

Encuadernación

Tapa Blanda

Dimensiones

21.60 x 14.00 x 2.50 cm

ISBN13

9781517920500

The Organism Is a Theory Volume 77. Giuseppe Longo on Biology, Mathematics, and AI

Adam Nocek;Giuseppe Longo (Autor) · University of Minnesota Press · Tapa Blanda

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Reseña del libro "The Organism Is a Theory Volume 77. Giuseppe Longo on Biology, Mathematics, and AI"

A bold reimagining of life that bridges science, philosophy, cybernetics, and the complexities of biological existenceThe Organism Is a Theory is an intriguing synthesis of decades of interdisciplinary research by eminent mathematician and biological scientist Giuseppe Longo. A unique collaboration between Longo and philosopher of technology Adam Nocek, the volume confronts foundational issues in the history of mathematics, computer science, physics, and theoretical biology. Challenging conventional approaches that apply computational and formalist models to the biological world, Longo reveals how the limitations of these models hinder the understanding of organismic complexity, development, and evolution. Through a critique of dominant scientific paradigms, he emphasizes the need for a new biological theory that accounts for the temporal and spatial intricacies of life. Enhanced by Nocek’s comprehensive introduction and a fascinating three-part interview with Longo, The Organism Is a Theory offers a bold rethinking of the biosciences, integrating the work of Alan Turing, Bernhard Riemann, Henri PoincarÉ, Kurt GÖdel, and others into Longo’s vision of critical biology. Bridging scientific and philosophical discourses, this book creatively applies insights from mathematics, physics, and computing into the study of the organism to present a new theoretical approach to understanding biological complexity that resists reductive mechanistic and informatic explanations. Retail e-book files for this title are screen-reader friendly with images accompanied by short alt text and/or extended descriptions.