动态系统的多Agent建模：一种自组织、涌现、稳态和自生成的方法
Multi-Agent Modeling of Dynamical Systems: A Self-organized, Emergent, Homeostatic and Autopoietic Approach
摘要：
本论文提出了理论，概念和方法方面，支持建模的动态系统（DS），通过使用几个代理。建模方法允许评估的属性代表秩序，变化，平衡，适应性和自主性，在DS。建模过程的支持下，关于系统动力学，多智能体系统，图论，特别是信息论的概念语料库。除了规范的动力系统作为一个计算网络的代理，度量，允许表征和评估这种系统的固有复杂性的定义。因此，与涌现，自组织，复杂性，稳态和自我创造相关的属性被定义，形式化和测量。在离散系统（布尔网络和元胞自动机）和生态系统上进行了底层DS模型的验证。这篇论文的主要贡献是发展了一种DS建模的方法。这种方法包括比传统研究更大的一组属性，这使我们能够加深对与DS领域相关的基本问题的质疑。所有这一切都是从一个简单的计算和解释基础上实现的，不需要先进的数学知识，并促进了它们在不同科学领域的应用。
英文摘要：
This thesis presents the theoretical, conceptual and methodological aspects that support the modeling of dynamical systems (DS) by using several agents. The modeling approach permits the assessment of properties representing order, change, equilibrium, adaptability, and autonomy, in DS. The modeling processes were supported by a conceptual corpus regarding systems dynamics, multi-agent systems, graph theory, and, particularly, the information theory. Besides to the specification of the dynamical systems as a computational network of agents, metrics that allow characterizing and assessing the inherent complexity of such systems were defined. As a result, properties associated with emergence, self-organization, complexity, homeostasis and autopoiesis were defined, formalized and measured. The validation of the underlying DS model was carried out on discrete systems (boolean networks and cellular automata) and ecological systems. The central contribution of this thesis was the development of a methodological approach for DS modeling. This approach includes a larger set of properties than in traditional studies, what allows us to deepen in questioning essential issues associated with the DS field. All this was achieved from a simple base of calculation and interpretation, which does not require advanced mathematical knowledge, and facilitates their application in different fields of science.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
