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Related Concept Videos

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
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More Causes Less Effect: Destructive Interference in Decision Making.

Irina Basieva1, Vijitashwa Pandey2, Polina Khrennikova3

  • 1International Center for Mathematical Modeling in Physics and Cognitive Science, Linnaeus University, S-35195 Växjö, Sweden.

Entropy (Basel, Switzerland)
|May 28, 2022
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Summary
This summary is machine-generated.

New research shows destructive interference in customer product failure probability estimates. Quantum probability models these cognitive effects, aiding manufacturers in designing better products and features.

Keywords:
customer decision makinginterferencenon-classical information processingproduct design

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Area of Science:

  • Cognitive Science
  • Behavioral Economics
  • Quantum Probability

Background:

  • Customers' probability estimates for product failure can exhibit non-classical effects.
  • Classical probability struggles to explain phenomena like negative interference between causes.

Purpose of the Study:

  • To demonstrate destructive interference in conditional probability estimates.
  • To explore the application of quantum probability in modeling cognitive decision-making processes.

Main Methods:

  • An experiment demonstrating destructive interference in probability estimates.
  • A survey analyzing the impact of multiple vehicle symptoms on drivability.
  • Modeling response statistics using quantum probability formulation.

Main Results:

  • Observed negative interference where combined causes produce an opposite effect.
  • Classical probability failed to explain observed response statistics.
  • Quantum probability successfully modeled the interference effects.

Conclusions:

  • Quantum probability offers a richer paradigm for understanding customer decision-making.
  • Negative interference in product features can be leveraged for product design.
  • Quantum formalism provides a more comprehensive framework than classical probability for behavioral modeling.