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The Engineering of Cybernetic Systems

机译：控制论系统工程

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This tutorial develops a logical basis for the engineering of systems that operate cybemetically. The term cybernetic system has a clear quantitative definition. It is a system that dynamically matches acquired information to selected actions relative to a computational issue that defines the essential purpose of the system or machine. This notion requires that information and control be further quantified. The logic of questions and assertions as developed by Cox provides one means of doing this. The design and operation of cybernetic systems can be understood by contrasting these kinds of systems with communication systems and information theory as developed by Shannon. The joint logic of questions and assertions can be seen to underlie and be common to both information theory as applied to the design of discrete communication systems and to a theory of discrete general systems. The joint logic captures a natural complementarity between systems that transmit and receive information and those that acquire and act on it. Specific comparisons and contrasts are made between the source rate and channel capacity of a communication system and the acquisition rate and control capacity of a general system. An overview is provided of the joint logic of questions and assertions and the ties that this logic has to both conventional information theory and to a general theory of systems, I-diagrams, the interrogative complement of Venn diagrams, are described as providing valuable reasoning tools. An initial framework is suggested for the design of cybernetic systems. Two examples are given to illustrate this framework as applied to discrete cybernetic systems. These examples include a predator-prey problem as illustrated through "The Dog Chrysippus Pursuing its Prey," and the derivation of a single-neuron system that operates cybemetically and is biologically plausible. Future areas of research are highlighted which require development for a mature engineering framework.
机译：本教程为以密码方式运行的系统的工程开发提供了逻辑基础。控制论系统这个术语有明确的定量定义。它是一个系统，它相对于定义系统或机器的基本目的的计算问题，将获取的信息动态地匹配到选定的动作。该概念要求进一步量化信息和控制。 Cox开发的问题和断言的逻辑提供了一种实现此目的的方法。通过将这类系统与Shannon开发的通信系统和信息理论进行对比，可以了解控制论系统的设计和操作。问题和断言的联合逻辑可以看作是信息理论的基础，并且是信息理论的基础，信息理论既适用于离散通信系统的设计，又适用于离散通用系统的理论。联合逻辑捕获了发送和接收信息的系统与获取信息并对其采取行动的系统之间的自然互补。在通信系统的源速率和信道容量与一般系统的采集速率和控制容量之间进行特定的比较和对比。概述了问题和断言的联合逻辑，以及该逻辑与常规信息理论和系统一般理论之间的联系，I-图，维恩图的疑问补语被描述为提供了有价值的推理工具。建议为控制论系统的设计提供一个初始框架。给出两个例子来说明该框架应用于离散控制论系统。这些示例包括捕食者-被捕食者的问题，如“追逐它的猎狗犬”所说明的那样，并且推导了单神经元系统，该系统通过比喻来操作，并且在生物学上是合理的。强调了未来的研究领域，需要开发成熟的工程框架。

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