Showing posts with label Social. Show all posts
Showing posts with label Social. Show all posts

Simulation for the Social Scientist

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Simulation for the Social Scientist Overview


* What can computer simulation contribute to the social sciences?

* Which of the many approaches to simulation would be best for my social science project?

* How do I design, carry out and analyse the results from a computer simulation?

Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems.

Interest in social simulation has been growing very rapidly world-wide as a result of increasingly powerful hardware and software and also a rising interest in the application of ideas of complexity, evolution, adaptation and chaos in the social sciences. This authoritative book outlines all the common approaches to social simulation at a level of detail which will give social scientists an appreciation of the literature and allow those with some programming skills to create their own simulations.

Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science. It will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.


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Social Science Microsimulation

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Social Science Microsimulation Overview


This book gives an overview of the state of the art in five different approaches to social science simulation on the individual level. The volume contains microanalytical simulation models designed for policy implementation and evaluation, multilevel simulation methods designed for detecting emergent phenomena, dynamical game theory applications, the use of cellular automata to explain the emergence of structure in social systems, and multi-agent models using the experience from distributed artificial intelligence applied to special phenomena. The book collects the results of an international conference which brought together social scientists and computer scientists both engaged in a wide range of simulation approaches for the first time.


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*** Product Information and Prices Stored: Jan 05, 2011 11:30:06

Advancing Social Simulation: The First World Congress (Springer Series on Agent Based Social Systems)

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Advancing Social Simulation: The First World Congress (Springer Series on Agent Based Social Systems) Overview


Agent-based modeling and social simulation have emerged as both developments of and challenges to the social sciences. The developments include agent-based computational economics and investigations of theoretical sociological concepts using formal simulation techniques. Among the challenges are the development of qualitative modeling techniques, implementation of agent-based models to investigate phenomena for which conventional economic, social, and organizational models have no face validity, and the application of physical modeling techniques to social processes. Bringing together diverse approaches to social simulation and research agendas, this book presents a unique collection of contributions from the First World Congress on Social Simulation, held in 2006 in Kyoto, Japan. The work emerged from the collaboration of the Pacific Asian Association for Agent-Based Approach in Social Systems Sciences, the North American Association for Computational Social and Organizational Science, and the European Social Simulation Association.




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*** Product Information and Prices Stored: Dec 27, 2010 22:50:14

Social Simulation: Technologies, Advances and New Discoveries (Premier Reference)

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Social Simulation: Technologies, Advances and New Discoveries (Premier Reference) Overview


The simulation of social behavior in a variety of domains is an increasingly important technological tool.

eference survey of social simulation work, Social Simulation: Technologies, Advances and New Discoveries comprehensively collects the most exciting developments in the field. Drawing research contributions from a vibrant community of experts on social simulation, this Premier Reference Source provides a set of unique and innovative approaches, ranging from agent-based modeling to empirically based simulations, as well as applications in business, governmental, scientific, and other contexts. This book will be a significant reference tool for researchers, educators, and practitioners in such fields as sociology, geography, economics, environmental science, artificial intelligence, machine learning, computer engineering, and networks, and a valuable, interdisciplinary addition to academic libraries.


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*** Product Information and Prices Stored: Dec 08, 2010 22:10:07

Computational Modeling (Quantitative Applications in the Social Sciences)

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Computational Modeling (Quantitative Applications in the Social Sciences) Overview


Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.

After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.


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*** Product Information and Prices Stored: Aug 10, 2010 10:10:08

Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics)

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Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics) Overview


The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.




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*** Product Information and Prices Stored: Aug 05, 2010 02:10:07