Simulating Societies

Regular price €45.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
agent-based modelling
Alan Penn
Alexis Drogoul
Andrzej Nowak
Ann C. Seror
Ann C. SR
artificial intelligence in social science research
Belief Space
Bibb Latane
C. Gambier
C. Mullon
Caledonian Road
Category=JHBA
Category=UBJ
Category=UYQ
Cellular Automata
Cristiano Castelfranchi
cultural algorithms
DAI
differential
distributed artificial intelligence
emergent behaviour
EOS Model
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equation
Essex Road
F. Bousquet
Fishermen's Society
Fishermen’s Society
gatherers
Guila Naquitz
Helder Coelho
Herd Stability
hunter
Individual Subpopulations
J. Quensiere
Jacques Ferber
Jim Doran
JosAstro Caldas
Jose Castro Caldas
Klaus G. Troitzsch
Market Period
Mike Palmer
multi-agent
Multi-agent Simulation
Nick Dalton
organisational process simulation
P. Morand
Paul Mellars
physical
Physical Symbol System
Physical Symbol System Hypothesis
Pinon Nut
prehistoric
Prehistoric Foragers
Prehistoric Hunter Gatherer Societies
Prehistoric Hunter Gatherers
Robert G. Reynolds
Rosaria Conte
simulation
Simulation Methodologies
Social Model
social systems modelling
Stalk Probabilities
Steven Mithen
Street Segments
symbol
Total Population Size
Trait Network

Product details

  • ISBN 9780815349310
  • Weight: 453g
  • Dimensions: 138 x 216mm
  • Publication Date: 06 May 2020
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

The most exciting and productive areas of academic inquiry are often where the interests of two disciplines meet. This is certainly the case for the subject of this book, originally published in 1994, which explores the contribution that computer-based modelling and artificial intelligence can make to understanding fundamental issues in social science.

Simulating Societies shows how computer simulations can help to clarify theoretical approaches, contribute to the evaluation of alternative theories, and illuminate one of the major issues of the social sciences: how social phenomena can "emerge" from individual action. The authors discuss how simulation models can be constructed using recently developed artificial intelligence techniques and they consider the methodological issues involved in using such models for theory development, testing and experiment. The introductory chapters situate the book within social science, and suggest why the time was ripe for significant progress, before defining basic terminology, showing how simulation has been used to theorize about organizations, and indicating through examples some of the fundamental issues involved in simulation. The main body of the text provides case studies drawn from economics, anthropology, archaeology, planning, social psychology and sociology.

The appeal of this path-breaking book was twofold. It offered an essential introduction to simulation for social scientists and it provided case study applications for computer scientists interested in the latest advances in the burgeoning area of distributed artificial intelligence (DAI) at the time.

Nigel Gilbert, Jim Doran