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Incomparability and Incommensurability in Choice: No Common Currency of Value?

Lukasz Walasek1, Gordon D A Brown1

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Summary
This summary is machine-generated.

Most decision-making models assume a universal value scale, but this study argues for incommensurable values. This challenges traditional utility-based approaches, suggesting rank-based models for better choice representation.

Keywords:
choicedecision-makingincommensurabilityincomparabilityjudgmentutility

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Area of Science:

  • Cognitive Psychology
  • Behavioral Economics
  • Decision Theory

Background:

  • Traditional decision-making models rely on a common value currency (e.g., utility) for comparing choices.
  • This assumption simplifies complex human choices but may limit explanatory power.

Purpose of the Study:

  • To challenge the assumption of a universal value scale in decision-making models.
  • To propose an alternative framework accommodating incommensurable values and context-specific comparisons.
  • To explore the implications of incommensurability for rationality and decision-making models.

Main Methods:

  • Theoretical analysis of existing decision-making models.
  • Development of a conceptual framework based on 'covering values' for incommensurable options.
  • Examination of implications using economic theorems (Arrow's impossibility theorem) and cognitive principles.

Main Results:

  • Demonstrates that incommensurable values are prevalent in everyday choices, rendering universal value scales inadequate.
  • Proposes that choices are compared using specific, non-universal 'covering values' tied to goals or states.
  • Highlights that abandoning the common-currency assumption necessitates rank-based and heuristic models, contrasting with utility-based approaches.

Conclusions:

  • Existing economic and psychological decision-making models are fundamentally limited by the common-currency assumption.
  • Incommensurability of value is deeply linked to inconsistencies in human decision-making and rank-based value coding.
  • Developing single-quantity-maximizing models of decision-making may be impossible without accounting for incommensurability.