The Emerging Consensus in Social Systems Theory Review

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The Emerging Consensus in Social Systems Theory ReviewPeople new to systems thinking and cybernetics are looking for handy resources to get started. This book requires something more. However, once a person gains a basic understanding, this book has proven to me to be one of the best. It points the reader in a number of directions for further study, and gives a useful summary of what the reader will find there.
Its treatment of the famous Luhmann-Habermas debates was especially helpful, and I plan to use a number of other sections in my own studies and college teaching for some time to come. I find that the writer understood the importance of orienting the reader who hadn't been comfortable with the science and mathematics that often go with systems thinking.
The author does an especially good job trying to integrate certain concerns with democracy, participative management, and widespread involvement that a systems approach sometimes neglects in pursuit of social engineering by a technical elite.
This book was heavier than a simple introduction, so it is not exactly the front door to systems thinking, but I have found it to be a hallway to many rooms that I am still exploring -- thanks to Kenneth Bausch.The Emerging Consensus in Social Systems Theory Overview

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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Review

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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) ReviewI was looking for a more formal and thorough review of statistical network analysis, and this was the best book I found on the subject. Most other books are really introductions to the study of complex networks, this is the first one I found which goes deeper into the advanced statistical analysis of network data. I recommend it.Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Overview

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Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) Review

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Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) ReviewJosh Epstein's new Opus is a landmark publication in the emerging field of multiagent-based simulation of dynamic social systems. Since Josh is not only one of this still nascent (though burgeoning) field's ablest and most creative practitioners, but also among its most thoughtful critics, the reader of has two treats in store: (1) a generous, and wide-ranging, sampling of case studies (including social networks and evolution, population growth, emergence of economic classes, civil unrest, timing of retirement, the dynamics of adaptive organizations and the spread of infectious disease), and (2) a cogent "meta" discussion of what multiagent models ARE, ARE NOT and how (when their properties and limitations are *not* properly taken account of) they can easily be MISAPPLIED.
Far from suggesting that multiagent-based models are a panacea solution to all (or most) social dynamical systems, Josh's book carefully articulates the conditions for which such an approach IS (and is NOT) appropriate; an approach rarely taken by other, similar, overviews of the field. Indeed, the cogent philosophical discussion in Chapter One - alone! - in which the generativist's position is defined and put into a broader modeling/simulation context, is worth the price of admission; I have not seen a better "manifesto" of multiagent-based modeling elsewhere.
Finally, without taking away any of the inherent "beauty" (in the technical sense) of the often exaggerated concept of "emergence," Josh succeeds admirably in both defining the term, and de-mystifying it, stripping it of some of its unnecessary "quasi-mystical" baggage (at least as it is often portrayed in lay publications).
Anyone who is interested in understanding how agent models may be used to help explore the dynamics of social dynamical systems, should have this book firmly on top of their "must read" list! Josh has generously provided future generations of agent explorers their go-to source of both inspiration and ideas. Well done Josh!Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) Overview

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