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Exam (elaborations)

COGS 170 EXAM 1 QUESTIONS AND CORRECT ANSWERS.

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This document contains practice questions and correct answers for COGS 170 Exam 1, covering core topics in judgment and decision making such as heuristics and biases, bounded rationality, probability judgment, and normative decision models. It reviews important theories including Expected Utility Theory, Decision Field Theory, and cognitive heuristics used in human decision processes. The material also summarizes key concepts like overconfidence, availability and representativeness heuristics, scenario planning, and expert decision-making skills. It serves as a study guide for understanding how people make decisions under uncertainty and how psychological models compare with formal decision theories.

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Heuristics and biases


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goal is to study intuitions about uncertainty and the extent to which they
were compatible with normative probability calculations




attention as the scares resource
-two types


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, -conscious attention is the scarce resource for decision makers
1. voluntary- attention to info that individuals perceive is relevant to current
goals
2. involuntary- attention to aspects of the environment that are novel,
unexpected, potentially threatening, or otherwise affected related, or
perceptually salient




information-processing approach to decision research


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-focuses on the process of judgement and uses methods to trace decision
processing
-emphasizes the need to replace standard economic assumptions about
rational decision making with assumptions compatible with human
memories and computational capacities
-people only exhibit bounded rationality




Contributions of heuristics + biases research


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-new perspective on judgement under uncertainty
-evidence that humans' reasoning and decision-making capabilities= prone
to systematic errors
-challenged the assumptions of economic theory and rationality
-method to study probability judgments




Normative models of JDM
-what are they

, -the goals
-where do they originate


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-they are mathematical models that allow us to evaluate a judgement
-goal-compare and improve judgements to standards that allow
evaluations
-originate from probability theory, utility theory, and statistics




similarity effect


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the effect, on choice probabilities, produced by adding a competitive
option D to the choices of A and C
-D is very similar to C (C likeliness to be chosen decreased as likeliness of A
is unaffected)
-violated 'independence of irrelevant alternatives"




two major types of models


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-feedforward models- learning from experiences
-recursive models- performance is key




compromise effect


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March 7, 2026
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