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  • The Science of the New
      • GET 10% OFF

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      • Publisher's listprice GBP 60.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        28 665 Ft (27 300 Ft + 5% VAT)
      • Discount 10% (cc. 2 867 Ft off)
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    28 665 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher OUP Oxford
    • Date of Publication 26 March 2026

    • ISBN 9780198792628
    • Binding Hardback
    • No. of pages368 pages
    • Size 253x178x24 mm
    • Weight 851 g
    • Language English
    • Illustrations 122 b/w and colour line drawings
    • 698

    Categories

    Short description:

    Innovations often catalyse subsequent breakthroughs, creating a chain of progress that can be traced across history. The Science of the New explores the dynamics of novelty and innovation, offering a tool-kit to help us make predictions.

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    Long description:

    Much like our everyday moments of novelty, innovations often catalyse subsequent breakthroughs, creating a chain of progress that can be traced across history.

    The Science of the New explores the dynamics of novelty and innovation. It originates from the observation that these two interrelated phenomena that shape human experience, from the ordinary encounters we have in daily life to the groundbreaking advancements in science, technology, and society, are two faces of the same medal. In other words, novelties and innovation can be described by the same underlying processes and their emergence obeys the same general statistical laws.

    The construction of a solid mathematical framework to treat the phenomenologies related to the experience of the new represents a formidable challenge and a necessary one if we want to understand the world around us and be able to make predictions in an ever-changing environment and society.

    This book provides a minimal toolkit to face this problem. Organised into three distinct parts, it begins by outlining the fundamental theoretical tools necessary for analysing how novelties and innovations emerge. It then delves into classical and contemporary models that explain the processes behind innovation, illustrating the deep relationship between several ideas that took birth in different fields and influenced one another. The final section provides empirical case studies, applying the discussed frameworks to real-world systems and showing how mathematical and computational methods can help us understand innovation in various contexts.

    What Loreto, Servedio, and Tria have achieved is a landmark contribution. They have built a bridge from a philosophical conception of an open, creative universe to a testable, quantitative, and predictive science. This book is more than a masterful synthesis of a burgeoning field; it is a toolkit for a new kind of science, one equipped to study systems that construct their own futures. It is an invitation to join in the exploration of one of the deepest questions we can ask: How does the world build itself into ever-new wonders? The journey is just beginning, but with this work, we now have a map and a compass for the territories ahead. It is a beautiful and necessary book. Read it.

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    Table of Contents:

    Part I. Quantifying what is new
    Entropy, complexity and surprise
    The statistics of the new
    Temporal patterns of innovations: triggering effects, trends and correlations phenomena
    Mechanisms of innovation from biological to cultural evolution
    Part II. Modelling the dynamics of novelties
    Yule-Simon-like models
    Pólya's urns and Laplace's rule of succession
    Early urn schemes with innovation: the Hoppe's model and the Dirichlet process
    Urn schemes with expansion into the adjacent possible
    Part III. Empirial observations
    Human and social systems
    Socio-technological systems
    Biological systems
    Epilogue: Helga Nowotny
    Part IV. Postface

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