HETEROGENEOUS INTERACTIONS, AGENTS RECOGNITIONS, AND SOCIO-DYNAMIC ORDER FORMATION

长尾现象在当今社会和经济的各个方面都可以观察到。如果我们试图在社会动力学理论中捕捉这样一种社会现象，我们应该关注异质主体和一组具有各种认知框架的主体。在认知领域中，每个主体都可以有一个范围来修改他的和/或社会规则。因此，我们对具有内部动力学的代理感兴趣。在我们的背景下，我们有四个部分，我们目前的研究。第一部分：具有异质相互作用主体的演化经济学（见Y.Aruka，S. Egashiara，Y.第二部分：人工智能市场与异构交互代理（见Y.Aruka，S。第三部分：进化游戏及其记忆形成（见E。Akiyama的文章）;第N部分：基于认知框架的Agent建模中的信息通信结构（见T。Hashimoto，S.在第一部分中，我们认为， ...更多信息 从道德科学和复杂系统的角度看经济理性的一致性，从异质互动主体的角度看，迫切需要一种新的道德规范，演化经济学的历史进路可以加强这种分析。而所谓的基于多智能体的模拟，本身并不一定能达到社会动力学理论中自己确定的结果。在第二部分中，市场理论是通过U-Mart系统（= AI模拟器）来论证的。市场交易的一系列交易可以用多项logit模型进行分析。此外，任何交易都将受到市场交易所既定制度环境的影响。在第三部分中，我们认为“动态系统游戏”中的球员被描述为动态系统，自主调整他们的策略参数，通过相互作用。在这种情况下，我们认为一些进化过程中的互惠球员。在第四部分中，我们把社会中的个体看作具有内在动力的认知主体。在这种情况下，我们发展了社会动力学理论，并提出了一种新的方法，异质互动，代理人的豁免，和社会动态秩序的形成少

Long-tails often are observed in various aspects of the present society and economy. If we should try to capture such a social phenomenon in the theory of social dynamics, we should focus on heterogeneous agents and a set of agents with various cognitive frameworks. In the cognitive filed, each agent may have a scope of revising his and/or the socio rules. We thus are interested in the agents having internal dynamics. In our context, we have the four parts of our present research. Part I : Evolutionary Economics with Heterogeneous Interacting Agents(See Y.Aruka, S. Egashiara, Y. Koyama's articles) ; Part II : Artificial Intelligent Market with Heterogeneous Interacting Agents(See Y.Aruka, S. Hashimoto's articles) ; Part III : Evolutionary Games and Their Memory Formations(See E. Akiyama's articles) ; Part N : The Information Communication Structure in the Agent -Based Modelling with Cognitive Frameworks(See T. Hashimoto, S. Egashira's articles).In Part I, we argued that it did not hold … More the consistency of economic rationalities in view of moral science and complex system, and a new moral code will urgently be needed in view of heterogeneous interacting agents, and such analysis could be reinforced by the historical approach of evolutionary economics. While a so-called multi-agent based simulation, by itself, does not necessarily achieve its own definite result in the theory of social dynamics. In Part II, the theory of market is argued by means of U-Mart System(=AI-Simulator). A serial trade of the market exchange can be analyzed in terms of multi-nomial logit model. Moreover, any trade will be much influenced by the set institutional settings of the market exchange. In Part III, we argue "dynamical systems game" in which players are described as dynamical systems that autonomously adjust their strategy parameters though mutual interactions. In this settings, we argued some evolutionary processes of reciprocity among players. In Part IV, we regard individuals in a society as cognitive agents having internal dynamics. In this circumstance, we developed the theory of social dynamics, and suggested a new approach for Heterogeneous Interactions, Agents Recognitions, And Socio-Dynamic Order Formation Less