Social Science Microsimulation
ISBN-13:
9783642082672
ISBN-10:
364208267X
Edition:
Softcover reprint of hardcover 1st ed. 1996
Author:
Nigel Gilbert, Klaus G. Troitzsch, Ulrich Müller, Jim E. Doran
Publication date:
2010
Publisher:
Springer
Format:
Paperback
483 pages
Category:
Theory
,
Economics
,
Governmental
,
Accounting
,
Computer Simulation
,
Computer Science
,
Mathematical Physics
,
Physics
,
Quantum Theory
,
Methodology
,
Social Sciences
FREE US shipping
Book details
ISBN-13:
9783642082672
ISBN-10:
364208267X
Edition:
Softcover reprint of hardcover 1st ed. 1996
Author:
Nigel Gilbert, Klaus G. Troitzsch, Ulrich Müller, Jim E. Doran
Publication date:
2010
Publisher:
Springer
Format:
Paperback
483 pages
Category:
Theory
,
Economics
,
Governmental
,
Accounting
,
Computer Simulation
,
Computer Science
,
Mathematical Physics
,
Physics
,
Quantum Theory
,
Methodology
,
Social Sciences
Summary
Social Science Microsimulation (ISBN-13: 9783642082672 and ISBN-10: 364208267X), written by authors
Nigel Gilbert, Klaus G. Troitzsch, Ulrich Müller, Jim E. Doran, was published by Springer in 2010.
With an overall rating of 3.5 stars, it's a notable title among other
Theory
(Economics, Governmental, Accounting, Computer Simulation, Computer Science, Mathematical Physics, Physics, Quantum Theory, Methodology, Social Sciences) books. You can easily purchase or rent Social Science Microsimulation (Paperback) from BooksRun,
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Description
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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