This book is divided into two sections. The first section is concerned with the emergence and expansion of a form of mechanical knowledge defined by us as pre-classical mechanics. The definition purports to the period roughly between the 15th and the 17th century, before classical mechanics was formulated as a coherent and comprehensive mechanical theory in the sequel of Newton's work. The investigation of problems that were isolated from each other at the time but cohered into some kind of stable broad intellectual framework characterizes pre-classical mechanics. The second section is dedicated to specific case studies that present the application of a pre-classical framework to determined problems and to the investigation of specific natural phenomena. It consists of five case studies that illustrate in detail a reconstruction of pre-classical mechanics in particular constellations. Early modern theoretical, technical and social contexts transformed ancient and medieval mechanical knowledge in the course of its transmission.

A fundamentally new approach to the history of science and technology This book presents a new way of thinking about the history of science and technology, one that offers a grand narrative of human history in which knowledge serves as a critical factor of cultural evolution. Jürgen Renn examines the role of knowledge in global transformations going back to the dawn of civilization while providing vital perspectives on the complex challenges confronting us today in the Anthropocene—this new geological epoch shaped by humankind. Renn reframes the history of science and technology within a much broader history of knowledge, analyzing key episodes such as the evolution of writing, the emergence of science in the ancient world, the Scientific Revolution of early modernity, the globalization of knowledge, industrialization, and the profound transformations wrought by modern science. He investigates the evolution of knowledge using an array of disciplines and methods, from cognitive science and experimental psychology to earth science and evolutionary biology. The result is an entirely new framework for understanding structural changes in systems of knowledge—and a bold new approach to the history and philosophy of science. Written by one of today's preeminent historians of science, The Evolution of Knowledge features discussions of historiographical themes, a glossary of key terms, and practical insights on global issues ranging from climate change to digital capitalism. This incisive book also serves as an invaluable introduction to the history of knowledge.

Gives accurate and reliable summaries of the current state of research. It includes entries on philosophers, problems, terms, historical periods, subjects and the cultural context of Renaissance Philosophy. Furthermore, it covers Latin, Arabic, Jewish, Byzantine and vernacular philosophy, and includes entries on the cross-fertilization of these philosophical traditions. A unique feature of this encyclopedia is that it does not aim to define what Renaissance philosophy is, rather simply to cover the philosophy of the period between 1300 and 1650.

This book offers an analysis of the ground breaking mathematical work of Gregorio a San Vicente and his student and shows that the Flemish Jesuit Mathematics School had profound influence on mathematics in the seventeenth century.

How the Einsteinian revolution can be understood as the result of a long-term evolution of science The revolution that emerged from Albert Einstein’s work in the early twentieth century transformed our understanding of space, time, motion, gravity, matter, and radiation. Beginning with Einstein’s miracle year of 1905 and continuing through his development of the theory of general relativity, Einstein spurred a revolution that continues to reverberate in modern-day physics. In The Einsteinian Revolution, Hanoch Gutfreund and Jürgen Renn trace the century-long transformation of classical physics and argue that the revolution begun by Einstein was in fact the result of a long-term evolution. Describing the origins and context of Einstein’s innovative research, Gutfreund and Renn work to dispel the popular myth of Einstein as a lone genius who brought about a revolution in physics through the power of his own pure thought. We can only understand the birth of modern physics, they say, if we understand the long history of the evolution of knowledge. Gutfreund and Renn outline the essential structures of the knowledge system of classical physics on which Einstein drew. Examining Einstein’s discoveries from 1905 onward, they describe the process by which new concepts arose and the basis of modern physics emerged. These transformations continued, eventually resulting in the establishment of quantum physics and general relativity as the two major conceptual frameworks of modern physics—and its two unreconciled theoretical approaches. Gutfreund and Renn note that Einstein was dissatisfied with this conceptual dichotomy and began a search for a unified understanding of physics—a quest that continued for the rest of his life.

This volume explores the reorganisation of knowledge taking place in the course of Galileo's research process extending over a period of more than thirty years, pursued within a network of exchanges with his contemporaries, and documented by a vast collection of research notes. It has revealed the challenging objects that motivated and shaped Galileo's thinking and closely followed the knowledge reorganization engendered by theses challenges. It has thus turned out, for example, that the problem of reducing the properties of pendulum motion to the laws governing naturally accelerated motion on inclined planes was the mainspring for the formation of Galileo's comprehensive theory of naturally accelerated motion.

A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest "to solve intelligence," a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural networks. The Eye of the Master argues, to the contrary, that the inner code of AI is shaped not by the imitation of biological intelligence, but the intelligence of labour and social relations, as it is found in Babbage's "calculating engines" of the industrial age as well as in the recent algorithms for image recognition and surveillance. The idea that AI may one day become autonomous (or "sentient", as someone thought of Google's LaMDA) is pure fantasy. Computer algorithms have always imitated the form of social relations and the organisation of labour in their own inner structure and their purpose remains blind automation. The Eye of the Master urges a new literacy on AI for scientists, journalists and new generations of activists, who should recognise that the "mystery" of AI is just the automation of labour at the highest degree, not intelligence per se.