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Naturalism, tractability and the adaptive toolbox.

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Summary
This summary is machine-generated.

People can achieve high accuracy using simple heuristics, but the adaptation process requires vast computational resources, making ecological rationality computationally intractable.

Keywords:
Adaptive toolbox theoryEcological rationalityEpistemic rationalityEvolutionHeuristicsInstrumentalismIntractabilityNP-hardNaturalism

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Area of Science:

  • Cognitive Science
  • Decision Making
  • Philosophy of Mind

Background:

  • Recent research highlights human ability to achieve epistemic success using simple heuristics and minimal information.
  • This success is attributed to leveraging environmental features, suggesting a naturalized view of rationality.
  • The 'ought-can' principle supports this view, aligning intuitive rationality with practical application.

Purpose of the Study:

  • To investigate the computational feasibility of the adaptation process underlying heuristics-based ('ecological') rationality.
  • To determine if the naturalization of rationality, based on simple heuristics, is computationally tractable.
  • To examine the implications of computational intractability for the project of naturalizing rationality.

Main Methods:

  • Analysis of the computational resources required for adaptation processes that guarantee rationality.
  • Evaluation of various auxiliary assumptions proposed to mitigate computational burdens.
  • Assessment of the robustness of computational intractability in adaptation.

Main Results:

  • The adaptation process for ecological rationality demands astronomical computational resources, rendering it intractable.
  • Tested auxiliary assumptions failed to resolve the computational intractability.
  • Computational intractability was found to be a robust property of adaptation.

Conclusions:

  • The naturalization of rationality via simple heuristics is computationally endangered.
  • The project of naturalizing rationality faces significant challenges due to the intractability of the underlying adaptation processes.
  • Findings question the feasibility of a computationally grounded, naturalized account of human rationality.