标题： 自指算法的概念与设计原则，模拟神经元组装功能 显示英文标题

标题： Conceptual and Design Principles for a Self-Referential Algorithm Mimicking Neuronal Assembly Functions

摘要： 本文提出了一种方法，用于形式化基于经验的认知过程模型，从生命系统的视角而非观察者的视角来考虑经验。 生命系统的视角由系统维持生命平衡的需要所定义。 该方法基于一种我们称之为环境生成算子（EGO）的算法模式，并使用为这一目的开发的自指语言，我们称之为E语言。 EGO将认知过程模拟为神经元集合上的操作，如Hebb所理解的那样。 在本文中，我们介绍了一个EGO原型（EGO-P），它已经实现了并进行了测试。 显示英文摘要

摘要： This article proposes a method to formalise models of cognitive processes grounded in experience, considering experience from the perspective of a living system and not from that of an observer of the living system. The perspective of a living system is defined by the need of the system to preserve the vital equilibria. The method is based on an algorithmic schema that we call Environment Generative Operator (EGO) and uses a self-referential language developed for this purpose which we call E-language. EGO simulates cognitive processes as operations on neuron assemblies as understood by Hebb. In this article we present an EGO prototype (EGO-P) which has already been implemented and tested.