Adaptive Rationality Framework
Rationality in ancestral environments
The Adaptive Rationality Framework suggests that humans are adaptively rational, meaning their cognitive mechanisms are designed to solve problems in ancestral environments. This framework challenges the mainstream cognitive view that human problem-solving abilities are riddled with errors and biases.
- Humans are adaptively rational, meaning their cognitive mechanisms are designed to solve problems in ancestral environments.
- The human mind is composed of many problem-specific cognitive mechanisms, each designed to solve different adaptive problems.
- Cognitive biases can be adaptively biased, meaning they solve problems of survival and reproduction in ancestral environments.
- Identify the adaptive problemIdentify the specific adaptive problem that the cognitive mechanism is designed to solve.Pro tipConsider the ancestral environment in which the problem arose.WarningBe aware of the potential for cognitive biases to influence problem-solving.
- Analyze the cognitive mechanismAnalyze the cognitive mechanism that is designed to solve the adaptive problem.Pro tipConsider the specific cognitive processes involved in solving the problem.WarningBe aware of the potential for errors and biases in the cognitive mechanism.
- Evaluate the adaptive rationalityEvaluate the adaptive rationality of the cognitive mechanism in the context of the ancestral environment.Pro tipConsider the fitness consequences of the cognitive mechanism in the ancestral environment.WarningBe aware of the potential for maladaptive consequences in modern environments.
The descent illusion is a perceptual bias that helps humans navigate in ancestral environments. It is an example of an adaptively biased cognitive mechanism.
The Adaptive Rationality Framework originated from the work of evolutionary psychologists, who sought to understand human cognition in the context of ancestral environments. This framework is based on the idea that the human mind is composed of many problem-specific cognitive mechanisms, each designed to solve different adaptive problems.