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Complexity and behavioral economics.

J Barkley Rosser1, Marina V Rosser1

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Complexity economics and behavioral economics are deeply linked through Herbert Simon's work. Complexity theory, especially agent-based modeling, provides a foundation for bounded rationality, supporting broader applications of behavioral economics.

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Area of Science:

  • Economics
  • Complexity Theory
  • Behavioral Economics

Background:

  • Herbert Simon pioneered both behavioral economics and complexity theory.
  • Bounded rationality stems from the cognitive limits of economic agents.
  • Traditional economics often assumes full rationality, overlooking agent behavior.

Purpose of the Study:

  • To explore the relationship between complexity economics and behavioral economics.
  • To establish complexity theory as a foundational framework for bounded rationality.
  • To advocate for the expanded application of behavioral economics in economic contexts.

Main Methods:

  • Reviewing Herbert Simon's foundational contributions.
  • Analyzing agent-based modeling within complexity theory.
  • Examining how complexity theory supports bounded rationality concepts.

Main Results:

  • Complexity economics offers a robust framework for understanding bounded rationality.
  • Agent-based modeling in complexity theory allows simulation of behavioral economics.
  • The study highlights the interconnectedness of complexity and behavioral economics.

Conclusions:

  • Complexity theory provides a fundamental basis for bounded rationality.
  • Behavioral economics should be applied more broadly due to complexity.
  • Herbert Simon's legacy bridges these two critical economic fields.