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Why do things go wrong? Why, despite all the planning and care in the world, do things go from bad to worse? This book argues that it is because we are like the ants. Just as ants create an anthill without being aware of it, unintended side effects of human activity create all manner of social trends and crises. The book traces the way these trends emerge and the role they play in some of the major issues of our time. One of the greatest challenges today is the complexity of our social and economic systems. Every action has side effects that people often ignore or fail to see. The book examines the ways in which limitations in our thinking and behaviour lead to unintended side effects. It looks at the role played by complex networks of interactions. Finally, it looks at the way side effects of new technologies, especially computers and communication, have created an Information Revolution, the full repercussions of which are yet to be seen. In our race to create new technologies and sustain indefinite economic growth, we are at best dimly aware of the ways in which we are transforming society and threatening our environment.

Complexity (Philosophy) --- Poetry --- Poems --- Verses (Poetry) --- Literature --- Philosophy --- Emergence (Philosophy) --- Engineering. --- Statistical physics. --- Complexity. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Construction --- Industrial arts --- Technology --- Statistical methods --- Computational complexity. --- Dynamical systems. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Complexity, Computational --- Electronic data processing --- Machine theory

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This book explains how dual phase evolution operates in all these settings and provides a detailed treatment of the subject. The authors discuss the theoretical foundations for the theory, how it relates to other phase transition phenomena and its advantages in evolutionary computation and complex adaptive systems. The book provides methods and techniques to use this concept for problem solving. Dual phase evolution concerns systems that evolve via repeated phase shifts in the connectivity of their elements. It occurs in vast range of settings, including natural systems (species evolution, landscape ecology, geomorphology), socio-economic systems (social networks) and in artificial systems (annealing, evolutionary computing).

Natural computation. --- Evolutionary computation. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Computation, Evolutionary --- Biologically-inspired computing --- Bio-inspired computing --- Natural computing --- Engineering. --- Computer organization. --- Applied mathematics. --- Engineering mathematics. --- Complexity, Computational. --- Appl.Mathematics/Computational Methods of Engineering. --- Complexity. --- Computer Systems Organization and Communication Networks. --- Artificial intelligence --- Natural computation --- Soft computing --- Bionics --- Electronic data processing --- Computer network architectures. --- Mathematical and Computational Engineering. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Construction --- Industrial arts --- Technology --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Computational complexity. --- Organization, Computer --- Electronic digital computers --- Complexity, Computational --- Machine theory --- Phase transformations (Statistical physics)