Sulis William H
McMaster Universtiy, Hamilton, Ontario, Canada.
Nonlinear Dynamics Psychol Life Sci. 2012 Apr;16(2):113-36.
Archetypal dynamics is a formal approach to the modeling of information flow in complex systems used to study emergence. It is grounded in the Fundamental Triad of realisation (system), interpretation (archetype) and representation (formal model). Tapestries play a fundamental role in the framework of archetypal dynamics as a formal representational system. They represent information flow by means of multi layered, recursive, interlinked graphical structures that express both geometry (form or sign) and logic (semantics). This paper presents a detailed mathematical description of a specific tapestry model, the causal tapestry, selected for use in describing behaving systems such as appear in psychology and physics from the standpoint of Process Theory. Causal tapestries express an explicit Lorentz invariant transient now generated by means of a reality game. Observables are represented by tapestry informons while subjective or hidden components (for example intellectual and emotional processes) are incorporated into the reality game that determines the tapestry dynamics. As a specific example, we formulate a random graphical dynamical system using causal tapestries.
原型动力学是一种用于研究涌现现象的复杂系统信息流建模的形式化方法。它基于实现（系统）、解释（原型）和表示（形式模型）的基本三元组。织锦在原型动力学框架中作为一种形式表示系统发挥着基础性作用。它们通过多层、递归、相互关联的图形结构来表示信息流，这些结构既表达几何（形式或符号）又表达逻辑（语义）。本文给出了一个特定织锦模型——因果织锦的详细数学描述，该模型从过程理论的角度被选用于描述心理学和物理学中出现的行为系统。因果织锦表达了通过现实游戏生成的明确的洛伦兹不变瞬态现在。可观测量由织锦信息子表示，而主观或隐藏成分（例如智力和情感过程）被纳入决定织锦动力学的现实游戏中。作为一个具体例子，我们使用因果织锦构建一个随机图形动力系统。
