Simulation for the Social Scientist 2nd edition by Gilbert, Nigel, Troitzsch, Klaus (2005) Paperback

by Nigel Gilbert

The book is brand new and will be shipped from US.

Paperback

First published April 1, 1999

Reviews

[Marco · Rating 5 out of 5]

An introduction to computer simulation techniques that can be useful for social scientific research. The authors select some well-established methods and present their core concepts, relevant design choices, application examples and a bibliography for further learning about that approach. While some of the specific models and approaches no longer belong to the state of the art, that is expected after more than ten years of the book's publication, and the general descriptions are still relevant.

[Jānis · Rating 4 out of 5]

Grāmata par simulācijām. Sākot no primitīviem simulāciju mikromoduļiem un šūnu automātiem līdz pat mums mūsdienās tik ļoti interesantajiem neironu tīkliem un ģenētiskajiem algoritmiem.

Es šo nosauktu par ievadu simulāciju teorijā, kas var pavilkt cilvēku vairāk domāt arī par mašīnmācīšanos.

Grāmata nav jauna, bet ļoti labi parāda to, ka jau pirms 60 gadiem cilvēki domāja kā paredzēt nākotni un kā iemācīt datoru domāt kā cilvēkam.

[Mike Peleah · Rating 4 out of 5]

A good intro to to computer simulation techniques for social scientist. It provides both a broad discussion of modelling methods (in the first chapters) and step-by-step guidance in creating multi-agent models (in the last chapters). Good classic reading. Caveat--it is already 15 years old, and there was progress in this area.

[Nick · Rating 3 out of 5]

Not bad, just a little too dated to be useful for more than summary information.

[Ash Moran · Rating 4 out of 5]

This is a nice straightforward read which covers a surprising amount of ground for a book this size. There's a brief introduction and analysis of system dynamics, microanalytical and multilevel modelling, cellular automata, agent based modelling and genetic algorithms. The examples do a good job of showing the strengths and weaknesses of each approach. I was only interested in learning about agent-based modelling (called multi-agent modelling here), but I was pleasantly surprised to come away with a much broader understanding of how people have tried to model social situations.

[Matt Jans · Rating 5 out of 5]

A really easy read, though I didn't delve into the detailed chapters on simulations...just picked this up on a whim so I haven't used it for a specific project. Need to go back and read chapter on "Stages of simulation research"

[Nikos Bar · Rating 4 out of 5]

This excellent book helped me to accomplish a part of my dissertation. Still remains one of the best introduction books for the social scientists.