Page 20 -
P. 20

Chapter 2
            Historical Introduction



            Klaus G. Troitzsch




            Abstract This chapter gives an overview of early attempts at modelling social
            processes in computer simulations. It discusses the early attempts, its successes
            and its shortcomings and tries to identify some of them as forerunners of modern
            simulation approaches.


            Why Read This Chapter?
            To understand the historical context of simulation in the social sciences and thus to
            better comprehend the developments and achievements in the field.




            2.1 Overview

            The chapter is organised as follows: the next section will discuss the early attempts
            at simulating social processes, mostly aiming at prediction and numerical simulation
            of mathematical models of social processes. Section 3 will then be devoted to the
            nonnumerical and early agent-based approaches, while Sect. 4 will give a short
            conclusion followed by some hints at further reading.




            2.2 The First Two Decades

            Simulation in the social sciences is nearly as old as computer simulation at large.
            This is partly due to the fact that some of the pioneers of computer science—such
            as John von Neumann, one of the founders of game theory—were at the same
            time pioneers in the formalisation of social science. And one must add Herbert
            A. Simon, one of the pioneers in formalising social science, as another early
            adopter of computer-assisted methods of building social theories. Thus the first



            K.G. Troitzsch (retired)
            Universität Koblenzt-Landau, Universitätsstraße 1, 56070 Koblenz, Germany
            e-mail: klaus.g.troitzsch@bluewin.ch

            © Springer International Publishing AG 2017                     13
            B. Edmonds, R. Meyer (eds.), Simulating Social Complexity,
            Understanding Complex Systems, https://doi.org/10.1007/978-3-319-66948-9_2
   15   16   17   18   19   20   21   22   23   24   25