The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs

作者: Helder Coelho , Nuno David , Jaime Simão Sichman

DOI:

关键词: Computational sociologyScientific theoryComputer scienceContext (language use)Social simulationSociology of scientific knowledgeConstruct (philosophy)Social scienceCredibilityIdentification (information)

摘要: The classical theory of computation does not represent an adequate model reality for simulation in the social sciences. aim this paper is to construct a methodological perspective that able conciliate formal and empirical logic program verification computer science, with interpretative multiparadigmatic We attempt evaluate whether implies additional about way one can understand concepts computation. demonstrate at least two distinct types verifications reflect epistemological distinction kind knowledge have programs. Computer programs seem possess causal capability (Fetzer, 1999) intentional scientific theories possess. This associated verification, which we call verification. demonstrate, by means, computational phenomena are also phenomena, such particularly manifest agent-based simulation. Ascertaining credibility results requires focus on identification new category should be considered outcome experimental exercise, albeit empirical, acquired within context limited consensus. seems only possible character science terms science. contribute, additionally, clarification several questions found perspectives discipline, as nature, scalability,

参考文章(10)
Francis Fukuyama, Robert Axelrod, Robert Jervis, The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration Foreign Affairs. ,vol. 77, pp. 142- ,(1998) , 10.2307/20048800
Chris Goldspink, Methodological Implications Of Complex Systems Approaches to Sociality: Simulation as a foundation for knowledge. Journal of Artificial Societies and Social Simulation. ,vol. 5, pp. 1- 3 ,(2002)
Carlos Gershenson, Philosophical Ideas on the Simulation of Social Behaviour Journal of Artificial Societies and Social Simulation. ,vol. 5, pp. 1- 8 ,(2002)
James H. Fetzer, Program verification: the very idea Communications of The ACM. ,vol. 31, pp. 1048- 1063 ,(1988) , 10.1145/48529.48530
Brian Cantwell Smith, Limits of correctness in computers Computerization and controversy (2nd ed.). pp. 810- 825 ,(1995) , 10.1007/978-94-011-1793-7_13
Klaus G. Troitzsch, G. Nigel Gilbert, Simulation for the Social Scientist ,(1999)
Edsger Wybe Dijkstra, A Discipline of Programming ,(1976)
Joshua M. Epstein, Robert Axtell, Growing Artificial Societies: Social Science from the Bottom Up Research Papers in Economics. ,vol. 1, ,(1996)