| Sumario: | Computer modeling, based on connectionist and artificial intelligence planning and learning programming techniques, was used to test the hypothesis that mild, delimited, and adaptive depression may be a specific example of a more general type of mechanism by which intelligent systems adapt to dynamic, uncertain, and dangerous environments. The computer modeling supported the hypothesis by generating both adaptive behavior and analogs for ten phenomena related to depression—global, stable, and internal failure explanation; a cognitive loop of failure rumination; decreased motivation, self-esteem, and self-efficacy; and increased realism, negative generalization, and cognitive change. It is concluded that a better comprehension of normal and adaptive depression could result in a better comprehension of clinical depression.
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