计算智能的空间思维模型

Kirill A. Sorudeykin
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引用次数: 3

摘要

试图有效(无论是谁,在什么领域)一个人面临的问题,不可避免地破坏了我们所有的努力,很容易达到预期的目标。问题是我们的思想存在着一些不可逾越的障碍,换句话说,是思维原则的障碍。它们是我们研究的线索和主要原因。在这里,我们研究这些障碍及其特征,揭示心理过程的本质。我们从反映定义对象之间关系的方式的特殊结构开始。然后我们开始意识到,我们的大脑用来构建思想、得出结论、理解、形成推理等的材料是什么。这可以被称为心理动力学。在此之后,所需抽象层次上的心理障碍的性质以及通过它们的方法变得清晰起来。我们开始理解为什么思维会以这样的方式流动,有这样的细节和限制,我们可以在现实中观察到。这可以帮助我们更理想。在最后一步,我们开始理解,什么样的数学模型可以应用于这样的图片。我们开始用数学语言来表达我们的思想,为我们的空间思维理论开发了一种工具,适合于代表思维的过程和基础结构。我们使用抽象代数,并与对象的性质保持不变。
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A model of spatial thinking for computational intelligence
Trying to be effective (no matter who exactly and in what field) a person face the problem which inevitably destroys all our attempts to easily get to a desired goal. The problem is the existence of some insuperable barriers for our mind, another words barriers for principles of thinking. They are our clue and main reason for research. Here we investigate these barriers and their features exposing the nature of mental process. We start from special structures which reflect the ways to define relations between objects. Then we came to realizing about what is the material our mind uses to build thoughts, to make conclusions, to understand, to form reasoning, etc. This can be called a mental dynamics. After this the nature of mental barriers on the required level of abstraction as well as the ways to pass through them became clear. We begin to understand why thinking flows in such a way, with such specifics and with such limitations we can observe in reality. This can help us to be more optimal. At the final step we start to understand, what mathematical models can be applied to such a picture. We start to express our thoughts in a language of mathematics, developing an apparatus for our Spatial Theory of Mind, suitable to represent processes and infrastructure of thinking. We use abstract algebra and stay invariant in relation to the nature of objects.
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