作为决策事件模式的复杂,动态和偶然的社会过程-哲学和数学基础

Bruno da Rocha Braga
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引用次数: 0

摘要

本文讨论了后实证主义研究框架的数学基础,以解释任何复杂、动态和偶然现象的预期行为中的令人惊讶的事实,并将批判现实主义的本体论和认识论假设与美国实用主义相协调。理论命题转化为一套语法规则,可以承认在进行个人行为或与伙伴的社会互动时的决策事件序列模式。结果是一个离散的数学模型,用于一类社会过程,该过程需要修改以解释所有令人惊讶的事实的实例,作为关于其他过去事件结果的特定配置的新事件结果,这些结果成为其产生的历史背景。通过对属于同一社会过程类别的案例进行结构比较,但在事件序列的偶然模式方面有所不同,可以通过数据为基础的理论改进。作为一个例子,公司的能力发展过程的案例研究是在其社会经济行为的语法方面详细的,以支持公司的中间理论的产生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complex, Dynamic and Contingent Social Processes as Patterns of Decision-Making Events – Philosophical and Mathematical Foundations
This work discusses the mathematical foundations of a post-positivist research framework to explain surprising facts in the expected behaviour of any complex, dynamic and contingent phenomenon, reconciling the ontological and epistemological assumptions of Critical Realism with the American Pragmatism. Theoretical propositions turned into a set of grammar rules can acknowledge a pattern of sequences of decision-making events on conducting individual actions or social interactions with partners. The result is a discrete mathematical model for a category of social process that needs modifications to explain all instances of the surprising fact as a new event outcome regarding specific configurations of other past event outcomes that become the historical context for its generation. The data-grounded theory refinement is possible through structural comparison between cases belonging to the same category of social process, but differing in respect to this contingent pattern of sequences of events. As an example, the case study of the competence development process in the firm is detailed in terms of a grammar of its socioeconomic bevahior to support the generation of middle-range theories of the firm.
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