Strategy as a fundamental science: theoretical-methodological justification

IF 2.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2022-01-01 DOI:10.18254/s207751800020715-5
T. Alabina
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Abstract

Modern society and era are characterized by a series of systemic transformations in changing status of science, which leads to changing organization principles of the whole society. Development of modern methods of investigating the behavior of big socio-economic systems is based on creating their artificial analogues and imitational models of processes taking place in it, for example, with the usage of agent-based approach. Social sciences, including strategy as a science are not an exception here, gradually becoming closer to natural sciences both in tools and methodology principles, relying on interdisciplinary of researches and defining necessity of creating artificial societies and virtual worlds (metauniverses) as research models of real society and economy. Strategy as a relatively new science is not an exception in a sphere of creating new terminology and using research tools that need conceptual elaboration of independent agents’ behavior models that have a set of individual properties, as well as existing conditions of these agents (environment factors) and behavior rules, to which the agents obey. With certitude of practical orientation of strategy as a science, proved by series of historical and economical events, its fundamentality needs to be substantiated. In a cycle out of two articles, an attempt to substantiate strategy as a fundamental science, defining agents behavior as central units of artificial societies modelling, based on research of its philosophical roots and theoretical-methodological is made, which is a goal of this research. The second work is presented. As results of this second article, strategy is researched from a fundamentality position, for substantiation of this such key theoretical-methodological characteristics as: (1) content of “science” definition and its structural elements – scientific problem, facts, hypothesis, study, law; (2) distinctive features of science – purposefulness, evidentiary, versatility, consistency, objectivity, presence of a special terminology, methodology, observability of objects and phenomena, presence of paradigm, results, social and practical significance; (3) presence of terminology – general and specific (strategy, formal strategy, strategizing, strategist, object of strategizing, strategical management, strategical plan, artificial societies, agent-based approach).
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战略作为一门基础科学:理论-方法论证
现代社会和时代的特点是科学地位变化的一系列系统性转变,从而导致整个社会组织原则的变化。研究大型社会经济系统行为的现代方法的发展是基于创建其中发生的过程的人工模拟和模仿模型,例如,使用基于主体的方法。社会科学,包括作为一门科学的战略,在这里也不例外,在工具和方法论原则上逐渐向自然科学靠拢,依靠跨学科的研究,并将创造人工社会和虚拟世界(元宇宙)作为现实社会和经济的研究模型的必要性。战略作为一门相对较新的科学,在创造新术语和使用研究工具的领域也不例外,这些领域需要对具有一组个体属性的独立主体的行为模型进行概念性的阐述,以及这些主体的现有条件(环境因素)和行为规则,这些主体服从。战略作为一门科学具有实践取向的确定性,并被一系列的历史和经济事件所证明,但其根本性有待证实。在两篇文章的循环中,尝试将战略作为一门基础科学,将代理人行为定义为人工社会建模的中心单位,基于其哲学根源和理论方法的研究,这是本研究的目标。介绍了第二部作品。作为第二篇文章的成果,本文从根本性的角度对战略进行了研究,以证实以下几个关键的理论方法论特征:(1)“科学”定义的内容及其结构要素——科学问题、事实、假设、研究、规律;(2)科学的鲜明特征——目的性、证据性、多功能性、一致性、客观性、特殊术语的存在、方法论、物体和现象的可观察性、范式的存在、结果的存在、社会和实践意义;(3)术语的存在-一般和具体(战略,正式战略,战略制定,战略家,战略制定的对象,战略管理,战略计划,人工社会,基于代理的方法)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
审稿时长
21 weeks
期刊介绍: The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.
期刊最新文献
Social Identity and Organizational Control: Results of an Agent-Based Simulation Unpacking a Black Box: A Conceptual Anatomy Framework for Agent-Based Social Simulation Models Conditions and Effects of Norm Internalization A Methodology to Develop Agent-Based Models for Policy Support Via Qualitative Inquiry Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines
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