Consistency plays an important role in decision-making and problem-solving.
Consistency in sequential decisions: Some studies show people tend to make consistent choices in sequential decisions, while others show inconsistency. A factor influencing consistency is the expected visibility of the product/choice involved in the first decision.
Coherence in explanations and decisions: Explanations and decisions are often required to be internally coherent. Coherence is modeled in terms of constraints positively linking various evidence and explanatory statements. There's a balance between internal coherence and correspondence to external reality/evidence.
Consistency in decision-making programs: A decision-making program is considered consistent if it doesn't make contradictory decisions across different executions. Formal verification methods have been developed to check the consistency of geometric decision-making programs.
Relationship between coherence and accuracy: There may be a positive relationship between coherent probability judgments and accurate judgments. This relationship seems to strengthen as expertise increases.
Measures of coherence/consistency: For probability judgments, coherence can be measured by how well probabilities of mutually exclusive events sum to 1. Other measures include avoiding extension errors (judging a subset as more probable than its superset).
Factors affecting consistency: How a problem is framed or presented can affect the consistency of responses. Expertise level can impact the consistency of judgments.
Importance of consistency: Consistency is often seen as a desirable property in decision-making and reasoning. However, perfect consistency may not always be achievable or even desirable in complex, uncertain situations.
Consistency plays an important role in decision-making and problem-solving, but its relationship with accuracy and optimal decisions is complex and context-dependent. Various methods have been developed to measure and promote consistency in different domains.
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