Showing posts with label simulation. Show all posts
Showing posts with label simulation. Show all posts

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

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

(More customer reviews)
Are you looking to buy Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

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

Want to learn more information about Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)?

>> Click Here to See All Customer Reviews & Ratings Now
Read More...

Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology) Review

Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology)
Average Reviews:

(More customer reviews)
Are you looking to buy Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology) ReviewThis book serves as a good introduction to many topics one would fine useful for implementing a physics engine. The writing is very clear, and even a high school student with a good background in mathematics shouldn't have much difficulty comprehending most chapters. Professional developers should probably just stay clear of this book, and go straight to Dave Eberly's "Game Physics." Don't expect to find a robust physics engine in this book either. All demos are pretty rudimentary, poorly organized and even buggy. Nevertheless, true beginners should still find the code easy to read and understand.Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology) Overview

Want to learn more information about Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology)?

>> Click Here to See All Customer Reviews & Ratings Now
Read More...

Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) Review

Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1)
Average Reviews:

(More customer reviews)
Are you looking to buy Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) ReviewA few decades ago mathematical biology consisted mostly of evolutionary and predator-prey models. This has changed dramatically in recent years with the advent of computational biology and gene sequencing projects. The applications of mathematics to biology are now exploding and this book is an excellent example of that. The book could best be described as the application of nonlinear dynamical systems and reaction-diffusion partial differential equations to biology structures and processes. Readers with background in these areas of mathematics will find their ideas applied beautifully in this book. The best sections of the book for me were the discussions of synchronized insect emergence, models of testosterone secretion control, insect dispersal models, calcium waves on amphibian eggs, mammalian coat patterns, models of hallucination patterns in the brain, and modeling the transmission dynamics of HIV. Numerous exercises end each chapter, and the mathematical algorithms can easily be coded in Mathematica or some other high level language. This is a fine addition to the literature on mathematical biology and for the price it is a real bargain.Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) Overview

Want to learn more information about Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1)?

>> Click Here to See All Customer Reviews & Ratings Now
Read More...