Category: Books

43 Visions for Complexity

Coping with the complexities of the social world in the 21st century requires deeper quantitative and predictive understanding. Forty-three internationally acclaimed scientists and thinkers share their vision for complexity science in the next decade in this invaluable book. Topics cover how complexity and big data science could help society to tackle the great challenges ahead, and how the newly established Complexity Science Hub Vienna might be a facilitator on this path.

 

43 Visions for Complexity. Edited by Stefan Thurner

World Scientific

Source: www.amazon.com

See Also: Table of contents and sample chapter http://www.worldscientific.com/worldscibooks/10.1142/10360

The Nature of the Corporation: A Tale of Economic Complexity

This book is about the modern corporation. It is a tale of complexity, morality, efficiency, and freedom. Our culture is imbued with three myths stemming from our somewhat contradictory beliefs in the invisible hand and optimization by design. The first myth would have us believe that the modern corporation, based on property rights and enforceable contracts, is maximizing wealth and efficiency. The second myth would have us believe that profits and morality are disconnected from each other because they are subject to different constraints. The third myth would have us believe that private property rights over knowledge will deliver unabated economic growth, just as it happened during the industrial revolution. This book presents a bold vision of the modern corporation, one that some might find unsettling, for it calls into question the real implications of human agency, and the very notion of economic efficiency.

 

The Nature of the Corporation: A Tale of Economic Complexity

Calin Valsan

Source: www.researchgate.net

Emergence: A Philosophical Account

Interest in emergence amongst philosophers and scientists has grown in recent years, yet the concept continues to be viewed with skepticism by many. In this book, Paul Humphreys argues that many of the problems arise from a long philosophical tradition that is overly committed to synchronic reduction and has been overly focused on problems in philosophy of mind. He develops a novel account of diachronic ontological emergence called transformational emergence, shows that it is free of the problems raised against synchronic accounts, shows that there are plausible examples of transformational emergence within physics and chemistry, and argues that the central ideas fit into a well-established historical tradition of emergence that includes John Stuart Mill, G.E. Moore, and C.D. Broad. The book also provides a comprehensive assessment of current theories of emergence and so can be used as a way into what is by now a very large literature on the topic. It places theories of emergence within a plausible classification, provides criteria for emergence, and argues that there is no single unifying account of emergence. Reevaluations of related topics in metaphysics are provided, including fundamentality, physicalism, holism, methodological individualism, and multiple realizability, among others. The relations between scientific and philosophical conceptions of emergence are assessed, with examples such as self-organization, ferromagnetism, cellular automata, and nonlinear systems being discussed. Although the book is written for professional philosophers, simple and intuitively accessible examples are used to illustrate the new concepts.

https://global.oup.com/academic/product/emergence-9780190620325?q=Humphreys&lang=en&cc=us#

An Introduction to Transfer Entropy: Information Flow in Complex Systems

T. Bossomaier, L. Barnett, M. Harré, J.T. Lizier
An Introduction to Transfer Entropy: Information Flow in Complex Systems
Springer, 2016.

This book considers a relatively new measure in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors’ work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance.
 
The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.

 

SpringerLink access to PDFs: http://bit.ly/te-book-2016

Springer hard copy listing: http://bit.ly/te-book-2016-hardcopy

Amazon listing: http://amzn.to/2f5YdYW

Source: link.springer.com