This book interprets insights from the complexity sciences to explore seven types of complexity better to understand the predictable unpredictability of social life. Drawing on the natural and social sciences, it describes how complexity models are helpful but insufficient for our understanding of complex reality. Taking an interdisciplinary approach, the book develops a complex theory of action more consistent with our experience that our plans inevitably lead to unexpected outcomes, explains why we are both individuals and thoroughly social, and gives an account of why, no matter how clear our message, we may still be misunderstood. The book investigates what forms of knowledge are most helpful for thinking about complex experience, reflects on the way we exercise authority (leadership) and thinks through the ethical implications of trying to co-operate in a complex world. Taking complexity seriously poses a radical challenge to more orthodox theories of managing and leading, based as they are on assumptions of predictability, control and universality. The author argues that management is an improvisational practice which takes place in groups in a particular context at a particular time. Managers can influence but never control an uncontrollable world. To become more skilful in complex group dynamics involves taking into account multiple points of view and acknowledging not knowing, ambivalence and doubt. This book will be of interest to researchers, professionals, academics and students in the fields of business and management, especially those interested in how taking complexity seriously can influence the functioning of businesses and organizations and how they manage and lead.
A look at the rebellious thinkers who are challenging old ideas with their insights into the ways countless elements of complex systems interact to produce spontaneous order out of confusion
In this volume of key essays Morin turns his attention to the technical and philosophical underpinnings of complexity theory and applies it to a wide-ranging number of issues. These essays...
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
We also investigate the statistical properties of finite strings with high Kolmogorov complexity. Both of these topics are eminently useful in the applications part of the book.
Enhances Python skills by working with data structures and algorithms and gives examples of complex systems using exercises, case studies, and simple explanations.
The new branch of science which will reveal how to avoid the rush hour, overcome cancer, and find the perfect date What do traffic jams, stock market crashes, and wars have in common?
Examines the field of complexity science, with sections focusing on how the discipline works within computer simulations, natural ecosystems, and various social systems.
This book provides an introduction to the role of diversity in complex adaptive systems.
This book is a relatively self-contained introduction to the subject, which includes the necessary background material, as well as numerous examples and exercises.
In this book, the authors share their proven formula for dramatically shortening the process and solving an organization's toughest challenges in mere days.