首页> 外文会议>Fourth International Conference on Computing Anticipatory Systems (CASYS 2000), Aug 7-12, 2000, Liege, Belgium >Autonomous Selection and Indefinite Goals: A System Using Bezier Curves as Dynamically Re-defined Transition Rules
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Autonomous Selection and Indefinite Goals: A System Using Bezier Curves as Dynamically Re-defined Transition Rules

机译:自主选择和不确定目标:使用贝塞尔曲线作为动态重新定义的过渡规则的系统

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At the beginning, we point out a serious problem which arises when we describe the process of the living system as the computational process of a formal system. The problem is the indefiniteness in terms of correspondences of input and output states. Such indefiniteness can be grasped as the contradiction in a formal system. That is why we can say that the process of the living system is executed properly in spite of the existence of such a serious problem. The process proceeding in spite of a contradiction is represented by a perpetual change of partial function as a transition rule depending on the state. To achieve this purpose, we introduce the Bezier curve as a partial function. Given some control points in a plane, the Bezier curve that roughly connects all control points is calculated, and then all control points are moved horizontally and vertically at the same time as far as such moves can cross the Bezier curve. The new configuration of control points yields for the new Bezier curve. This sequential process is iterated, and that a transition rule of the Bezier curve is recursively re-defined. As a result, we have found that the system can generate particular output states even though the system is constructed without any explicit mechanism ensuring such events. Finally, we show that our system does work as a conceptual tool to embody ourselves who observe the process of the living system. A framework of the argument presented here is so-called internal measurement.
机译:在一开始,我们指出了一个严重的问题,当我们将生命系统的过程描述为形式系统的计算过程时会出现。问题是输入和输出状态的对应关系不确定。这种不确定性可以理解为形式系统中的矛盾。这就是为什么我们可以说,尽管存在如此严重的问题,但生命系统的过程仍能正确执行。尽管存在矛盾,但进行的过程仍是部分功能的永久变化,这取决于状态,是过渡规则。为了达到这个目的,我们引入贝塞尔曲线作为分函数。给定平面中的某些控制点,计算出大致连接所有控制点的贝塞尔曲线,然后将所有控制点同时水平和垂直移动(只要此类移动可以越过贝塞尔曲线)。控制点的新配置会产生新的贝塞尔曲线。重复此顺序过程,并递归地重新定义Bezier曲线的过渡规则。结果,我们发现,即使系统是在没有任何明确机制确保此类事件的情况下构建的,该系统也可以生成特定的输出状态。最后,我们证明了我们的系统确实是一种概念工具,可以体现观察生命系统过程的自身。此处提出的论证框架是所谓的内部度量。

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