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Cognitive Dissonance01:38

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Updated: May 14, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Contrarian behavior in a complex adaptive system.

Y Liang1, K N An, G Yang

  • 1Department of Physics and State Key Laboratory of Surface Physics, Fudan University, Shanghai 200433, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 16, 2013
PubMed
Summary
This summary is machine-generated.

Contrarian behavior in complex adaptive systems (CASs) has a transition point, challenging the belief that it always aids resource allocation. Optimal resource allocation is achieved at this transition point with specific contrarian levels.

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Area of Science:

  • Complex adaptive systems
  • Self-organization dynamics
  • Behavioral economics

Background:

  • Contrarian behavior is often assumed to positively influence resource allocation.
  • Its role in stabilizing systems by reducing resource redundancy or scarcity is widely believed.
  • Understanding self-organization in complex adaptive systems (CASs) is crucial.

Purpose of the Study:

  • To investigate the role and impact of contrarian behavior in a model resource-allocation CAS.
  • To identify a potential transition point in CASs exhibiting contrarian behavior.
  • To determine the conditions under which contrarian behavior optimizes resource allocation.

Main Methods:

  • Human experiments were conducted to observe behavior in a resource-allocation model.
  • Computer simulations were employed to analyze the system dynamics.
  • Theoretical analysis was used to understand the underlying principles and parameters.

Main Results:

  • A transition point was identified in the resource-allocation CAS with contrarian behavior.
  • The resource ratio and system predictability were found to act as tuning and order parameters, respectively.
  • Contrarian behavior's role was shown to be context-dependent, not universally positive.

Conclusions:

  • The study reveals a transition point where contrarian behavior's effect shifts, contradicting common assumptions.
  • Optimal resource allocation can be achieved by incorporating a calculated proportion of contrarians at this transition point.
  • Findings have implications for management, social science, ecology, and evolutionary studies.