Managing Complexity Insights Concepts Applications


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Managing Complexity: Insights, Concepts, Applications


Managing Complexity: Insights, Concepts, Applications

Author: Dirk Helbing

language: en

Publisher: Springer

Release Date: 2007-10-13


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Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy. Intended for a broad readership, the contributions have been kept largely non-technical and address a general, scientifically literate audience involved in corporate, academic, and public institutions.

Can You Learn to Be Lucky?


Can You Learn to Be Lucky?

Author: Karla Starr

language: en

Publisher: Penguin

Release Date: 2018-08-14


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“I don't know when I've been so wowed by a new author” –Chip Health, co-author of The Power of Moments and Switch A talented journalist reveals the hidden patterns behind what we call "luck" -- and shows us how we can all improve outcomes despite life’s inevitable randomness. "Do you believe in luck?" is a polarizing question, one you might ask on a first date. Some of us believe that we make our own luck. Others see inequality everywhere and think that everyone’s fate is at the whim of the cosmos. Karla Starr has a third answer: unlucky, "random" outcomes have predictable effects on our behavior that often make us act in self-defeating ways without even realizing it. In this groundbreaking book, Starr traces wealth, health, and happiness back to subconscious neurological processes, blind cultural assumptions, and tiny details you're in the habit of overlooking. Each chapter reveals how we can cultivate personal strengths to overcome life’s unlucky patterns. For instance: • Everyone has free access to that magic productivity app—motivation. The problem? It isn’t evenly distributed. What lucky accidents of history explain patterns behind why certain groups of people are more motivated in some situations than others? • If you look like an underperforming employee, your resume can't override the gut-level assumptions that a potential boss will make from your LinkedIn photo. How can we make sure that someone’s first impression is favorable? • Just as people use irrelevant traits to make assumptions about your intelligence, kindness, and trustworthiness, we also make inaccurate snap judgments. How do these judgments affect our interactions, and what should we assume about others to maximize our odds of having lucky encounters? We don’t always realize when the world's invisible biases work to our advantage or recognize how much of a role we play in our own lack of luck. By ending the guessing game about how luck works, Starr allows you to improve your fortunes while expending minimal effort.

Social Self-Organization


Social Self-Organization

Author: Dirk Helbing

language: en

Publisher: Springer

Release Date: 2012-05-05


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What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling. We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Selected parts of this book had been previously published in peer reviewed journals.