Mathematics of Collective Action

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A01=James Coleman
A1
actors
Author_James Coleman
Behaviour Principle
Bernoulli Trials
Category=JHB
chain
constitutional
Constitutional Control
Continuous Time Process
control
decision
Deterministic Decision Rules
discrete
Discrete Time Chain
Discrete Time Markov Chain
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Excess Demand
game theoretic applications
group decision analysis
Gudmund Hernes
Holds
Independent
Ineffect
Interest Matrix
Lt V1
markov
mathematical models of collective behavior
Multi-stage Decision Processes
Outcomes I0
Poisson Process
Primary Events
probabilistic
Probabilistic Decision Rule
Proportional Allocation
Purposive Theories
rational actor models
rule
Set B1
social choice theory
statistical social science
stochastic modeling methods
Tic
time
Unanimity Decision Rule

Product details

  • ISBN 9781138536722
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 17 Jul 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Philosophers, social scientists, and laymen have used two perspectives in analyzing social action. One sees man's action as the result of causal forces, and the other sees action as purposive and goal directed. Mathematical treatment of social action has shown this same dichotomy. Some models of behavior describe a causal process, in which there is no place for intention or purpose. Most stochastic models of behavior, whether individual or group, are like this. Another body of work, however, employs purpose, anticipation of some future state, and action designed to maximize the proximity to some goal. Classical microeconomic theory, statistical decision theory, and game theory exemplify this direction.This book examines these two directions of work, and makes original contributions to the second. An introductory chapter outlines these two bodies of work, and casts them in a common frame, to display their similarities and differences. Chapter 2 reviews at length recent work in stochastic processes that makes up the first body of work, which sees social action as the resultant of causal forces. The remaining chapters develop a mathematical framework for the study of systems of social action using a purposive theoretical base. These chapters are designed particularly to contribute to the study of collective decisions, a form of social action that has proved particularly challenging to theoretical analysis. First published in 1973, this became a significant work both in problem solving and in the future career of the author. It is of continuing importance to researchers and students interested in statistical analysis.

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