适应性抑郁的计算机模拟。

C Webster
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引用次数: 9

摘要

轻度的、限定的和适应性的抑郁可能是智能系统——个体的、社会的和人工的——适应动态的、不确定的和危险的环境的更一般的机制的一个具体例子。基于连接主义和人工智能规划和学习编程技术的计算机建模,通过生成与抑郁相关的10种现象的适应性行为和类似物来支持这一假设:全局的、稳定的和内部的失败解释,失败反思性的认知循环,动机、自尊和自我效能的降低,现实主义的增加,消极的泛化和认知变化。适应性抑郁的概念可以应用于不止一个层次的生命系统。更好地理解正常抑郁症和适应性抑郁症可能会导致更好地理解临床抑郁症。
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Computer modeling of adaptive depression.

Mild, delimited, and adaptive depression may be a specific example of a more general class of mechanism by which intelligent systems--individual, social, and artificial--adapt to dynamic, uncertain, and dangerous environments. Computer modeling, based on connectionist and artificial intelligence planning and learning programming techniques, supports this hypothesis by generating both adaptive behavior and analogs for 10 phenomena associated with depression: global, stable, and internal failure explantation, a cognitive loop of failure rumination, decreased motivation, self-esteem, and self-efficacy, and increased realism, negative generalization, and cognitive change. The idea of adaptive depression can be applied to more than one level of living systems. A better understanding of normal and adaptive depression may lead to a better understanding of clinical depression.

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