Studies in Multidisciplinarity Series
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About this series
Reviving the Living: Meaning Making in Living Systems presents a novel perspective that relates to current biological knowledge and issues. Written by polymath Dr. Yair Neuman, the book challenges the dogmas that frame our understanding of living systems and presents a radical alternative approach to understanding the world around us, one that avoids the pitfalls of non-scientific perspectives such as Vitalism and Creationism.
In this thought provoking and iconoclastic manuscript, Neuman follows the footsteps of Gregory Bateson, Mikhail Bakhtin, Michael Polanyi and others, to suggest that living systems are meaning making systems. The book delves into the unique processes of meaning making that characterize organisms as a unique category of nature, and offers new and fascinating insights into a variety of enigmatic biological phenomena from immune memory to hidden life (cryptobiosis). It consists of four parts divided into 18 chapters and covers topics ranging from reductionism and its pitfalls to genetics; why organisms are irreducible; immunology; meaning making in language and biology; meaning-bridging the gap between physics and semantics; context and memory; and the poetry of living. Core concepts and themes are illustrated using examples based in current science.
This text would be of high interest to biologists, philosophers, cognitive scientists, psychologists, and semioticians, as well as to any reflective individual who is willing to examine the realm of the living from a novel and fascinating perspective.
* Presents a novel perspective that relates to current biological knowledge and issues* Poses thought provoking ideas for theoretical biologists, those studying philosophy of science and the mind, cognitive scientists, semioticians, and people involved with Artificial Intelligence.
* Includes examples based in current science to illustrate core concepts and themes
Titles in the series (2)
- Modeling: Gateway to the Unknown: A Work by Rom Harre
1
Edited by Daniel Rothbart of George Mason University in Virginia, this book is a collection of Rom Harré's work on modeling in science (particularly physics and psychology). In over 28 authored books and 240 articles and book chapters, Rom Harré of Georgetown University in Washington, DC is a towering figure in philosophy, linguistics, and social psychology. He has inspired a generation of scholars, both for the ways in which his research is carried out and his profound insights. For Harré, the stunning discoveries of research demand a kind of thinking that is found in the construction and control of models. Iconic modeling is pivotal for representing real-world structures, explaining phenomena, manipulating instruments, constructing theories, and acquiring data. This volume in the new Elsevier book series Studies in Multidisciplinarity includes major topics on the structure and function of models, the debates over scientific realism, explanation through analogical modeling, a metaphysics for physics, the rationale for experimentation, and modeling in social encounters. * A multidisciplinary work of sweeping scope about the nature of science * Revolutionary interpretation that challenges conventional wisdom about the character of scientific thinking * Profound insights about fundamental challenges to contemporary physics * Brilliant discoveries into the nature of social interaction and human identity * Presents a rational conception of methods for acquiring knowledge of remote regions of the world * Written by one of the great thinkers of our time.
- Systems Self-Assembly: Multidisciplinary Snapshots
5
Systems Self-Assembly is the only book to showcase state-of-the-art self-assembly systems that arise from the computational, biological, chemical, physical and engineering disciplines. Written by world experts in each area, it provides a coherent, integrated view of both book practice examples and new trends with a clearly presented computational flavor. The unifying thread throughout the text is the computational nature of self-assembling systems. This book consists of 13 chapters dealing with a variety of topics such as the patterns of self-organised nanoparticle assemblies; biomimetic design of dynamic self-assembling systems; computing by self-assembly involving DNA molecules, polyominoes, and cells; evolutionary design of a model of self-assembling chemical structures; self-assembly as an engineering concept across size scales; and probabilistic analysis of self-assembled molecular networks. Other chapters focus on the programming language of dynamic self-assembly; self-assembled computer architectures; simulation of self-assembly processes using abstract reduction systems; computer aided search for optimal self-assembly systems; theoretical aspects of programmable self-assembly; emergent cooperativity in large-scale patterns; and automated self-assembling programming. Systems Self-Assembly is an ideal reference for scientists, researchers and post-graduate students; practitioners in industry, engineering and science; and managers, decision-makers and policy makers. *The only book to showcases state-of-the-art self-assembly systems that arise from the computational, biological, chemical, physical and engineering disciplines *Coherent, integrated view of both book practice examples and new trends with a clearly presented computational flavor *Written by world experts in each area
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