Cognitive and Motivational Biases in Decision and Risk Analysis.

Area of Science:

• Decision Analysis
• Cognitive Psychology
• Risk Management

Background:

• Behavioral decision research shows human judgments are prone to biases.
• Decision and risk analysis methods are designed to mitigate these biases.
• Analysts often encounter decision-maker biases during input elicitation, compromising analysis quality.

Purpose of the Study:

• Identify cognitive and motivational biases affecting decision and risk analysis inputs.
• Review and guide the application of debiasing techniques.
• Distinguish between biases that hinder and those correctable by logic.

Main Methods:

• Literature review of cognitive and motivational biases.
• Analysis of bias relevance in decision and risk analysis contexts.
• Evaluation of existing debiasing strategies.

Main Results:

• Identified key cognitive and motivational biases that distort analysis inputs and resist correction.
• Provided guidance on applying debiasing techniques.
• Categorized biases based on their susceptibility to logical correction or task decomposition.

Conclusions:

• Understanding and addressing cognitive and motivational biases is crucial for accurate decision and risk analysis.
• Effective debiasing strategies can improve the quality of analysis inputs.
• Further research is needed to refine debiasing methods and address remaining challenges.