Zifan Ali, Gharibzadeh Shahriar
Neuromuscular Systems Laboratory, Department of Biomedical Engineering, Amirkabir University of Technology, Somayyeh, Hafez, Tehran 15875-4413, Iran.
Med Hypotheses. 2006;67(3):658-61. doi: 10.1016/j.mehy.2006.02.032. Epub 2006 Apr 18.
In mathematics and physics, chaos theory deals with the behavior of certain nonlinear dynamical systems that under certain conditions exhibit a phenomenon known as chaos, which is characterised by a sensitivity to initial conditions. Mathematicians paradoxically call such states of order chaos and distinguish them from randomness. New models for describing and predicting different aspects of behavior are being created which once seemed unpredictable. This is done by focusing on the overall patterns of behavior, showing how stable or unstable they are and identifying the circumstances that make them change. In this paper, we indicate why human temper and mood changes have a chaotic nature. Then, we develop a chaotic model based on a long short-term memory recurrent neural network with irregular embeddings derived by the gamma test to model temper tantrum. We finally use a feedback delay controller to stabilize its chaotic behavior, because it is a plausible method for stabilizing biological neural systems. A lot of aspects of this model are analogous to the human counterpart. The model might suggest, for example, that if a particular person had stronger ego defenses, and attended a little less vigilantly to the external world, he or she might find a stable attractor amidst of a broader landscape of chaotic attractors. A therapist or self-control would be analogous to the delayed feedback controller, by specifically encouraging those changes, he might help the person reach a stable behavior. Finally, some comments are proposed to facilitate the normal behavior.
在数学和物理学中，混沌理论研究某些非线性动力系统的行为，这些系统在特定条件下会表现出一种称为混沌的现象，其特征是对初始条件敏感。数学家们自相矛盾地将这种有序状态称为混沌，并将它们与随机性区分开来。正在创建用于描述和预测行为不同方面的新模型，而这些方面曾经似乎是不可预测的。这是通过关注行为的整体模式来实现的，展示它们的稳定程度或不稳定程度，并确定使它们发生变化的情况。在本文中，我们指出了人类脾气和情绪变化具有混沌性质的原因。然后，我们基于长短期记忆循环神经网络开发了一个混沌模型，该模型具有通过伽马测试导出的不规则嵌入，以对发脾气进行建模。我们最终使用反馈延迟控制器来稳定其混沌行为，因为这是一种稳定生物神经系统的合理方法。该模型的许多方面与人类情况类似。例如，该模型可能表明，如果一个特定的人有更强的自我防御能力，并且对外界的警惕性稍低一些，那么他或她可能会在更广阔的混沌吸引子景观中找到一个稳定吸引子。治疗师或自我控制类似于延迟反馈控制器，通过特别鼓励那些变化，他可能会帮助这个人达到稳定行为。最后，提出了一些意见以促进正常行为。
