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Updated: Dec 26, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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Representing utility and deploying the body.

David Spurrett1

  • 1Philosophy, University of KwaZulu-Natal, Durban4041, South Africa. spurrett@ukzn.ac.zahttps://www.researchgate.net/profile/David_Spurrett.

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Summary
This summary is machine-generated.

Resource-rational models must account for the complexity of utility representations and body control. Constructing utility representations and managing body movement present significant processing demands often overlooked in current theories.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Decision Theory

Background:

  • Resource-rational models aim to maximize utility under constraints.
  • Human utility representation involves multiple rewarding modalities.
  • Controlling the body's degrees of freedom requires significant processing.

Purpose of the Study:

  • To highlight the computational demands of utility representation construction.
  • To emphasize the processing costs associated with controlling body movements.
  • To critique existing resource-rational accounts for neglecting these factors.

Main Methods:

  • Conceptual analysis of resource-rationality.
  • Review of literature on utility representation and motor control.
  • Critique of a target article's omissions.

Main Results:

  • The construction of utility representations is computationally intensive.
  • Managing the body's degrees of freedom poses substantial processing challenges.
  • The target article inadequately addresses these critical aspects.

Conclusions:

  • Resource-rational theories need to incorporate the complexities of utility formation.
  • Models of decision-making must account for the processing demands of action generation.
  • A more comprehensive approach is required for understanding resource-rational behavior.