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Week 16 notes

by: Grace Gibson

Week 16 notes 3330

Grace Gibson
GPA 3.88

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About this Document

These are the notes from lecture.
Cognitive Psychology
Dr. Alley
Class Notes
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This 3 page Class Notes was uploaded by Grace Gibson on Thursday April 21, 2016. The Class Notes belongs to 3330 at Clemson University taught by Dr. Alley in Fall 2016. Since its upload, it has received 13 views. For similar materials see Cognitive Psychology in Psychlogy at Clemson University.


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Date Created: 04/21/16
Reasoning and decision making    REASONING & DECISION MAKING    Formal Logic & Reasoning  ● Normative (or prescriptive): how people ought to reason  ○ Optimal or correct (e.g. logical) reasoning and rational choice  ● Descriptive reasoning: how people actually reason  ○ We sometime ignore relevant information, or err in other ways  ○ e.g. be persuaded by information that isn’t relevant  ○ e.g. show various types of bias  ○ Conjunction fallacy: the probability of two outcomes combined is more likely than one  of the outcomes separately (“Linda is a bank teller and a feminist activist” is more  likely than “Linda is a bank teller”)  Logical reasoning  ● Inductive: probabilistic inference based on experience  ○ i.e. reach (infer) a likely conclusion based on specific facts or observations  ○ e.g. all US presidents have been white so the next president will be white (this seems  to be a reasonable inference but it was wrong)  ● Deductive reasoning: drawing certain conclusions from assumed (given) premises  ○ e.g. we know our friend has a swan and we’ve never met it but we assume it’s white  ○ e.g. if it is raining, then there are clouds. It is raining. (conclusion: there are clouds)  ○ Syllogism: two or more assertions (premises) lead to a conclusion  ● Validity: conclusion follows from premises (form)  ● Truth: conclusion is true (content)  ● Soundness: validity + truth  ● It is possible to have a valid argument and a false conclusion or vice versa  ● Validity and truth are independent of each other in principle but these things get a little mixed  up in people’s minds  ○ People are more likely to think the whole argument is valid if they believe the  conclusion  ● The Belief­Bias Effect: we tend to see arguments with true conclusions as valid and arguments  with false conclusions as invalid  ○ People are more likely to think the whole argument is valid if they believe the  conclusion  ○ People are less likely to think the argument is valid if they don’t believe the conclusion    Limitations and Common Errors of Deduction  ● Belief bias effect  ● Inherent limitation: only concerned with validity, not truth  ○ If the premises are true, then it’s true  ● Confirmation (positive) bias: when generating possible solutions, we should seek falsification  but often seek positive answers  ○ We look for things that support validity  ○ Watson Selection Task: got people to do a selection task that could be solved perfectly  with deduction  ■ There were cards with letters on one side and numbers on the other  ■ He would give them rules and ask if the cards fit the rules  ■ Why are concrete problems so much easier? (such as drinking age questions  rather than card questions)  ● Logical (formal) fallacies: failures to follow rules of logic by drawing conclusions that:  ○ Affirm the consequent  ■ e.g. if the design is flawless, the space shuttle will work. The space shuttle  works. Therefore, the design is flawless   Deny the antecedent  ■ e.g. if my paper is flawless, then I’ll get an A. My paper is not flawless.  Therefore, I won’t get an A.     Thinking and Decision­Making under natural or uncertain conditions  ● Thinking often appears to be irrational and inconsistent  ● We often use judgement heuristics, or strategies that are easy to apply, often lead to  reasonable decisions, but may lead to poor decisions  ● Thinking that appears to be irrational or inconsistent may reflect adaptive limitations (e.g. for  speed or efficiency)    Theories of Decision Making  ● Common but naive assumption: we make decisions to maximize the expected value  ○ Value reflects both objective gains/losses and probability of occurrence   ● Expected value: objective usefulness or value that will determine decisions  ○ e.g. people will select the option that has the highest monetary value  ○ This is a normative and frequently violated theory  ● Expected Utility Theory: (subjective) usefulness or personal value, not objective value, guides  decisions  ○ Ten dollars doesn’t mean the same to everyone else, so we have to take the  subjective usefulness of things into account  ○ This is better, but people are inconsistent regarding both objective value and  subjective utility   ● Prospect Theory: differs from expected utility theory in several ways  ○ Doesn’t rely on utility or value because it takes into account the various biases people  have  ○ Consequences are viewed in terms of changes from a reference level (usually current  state, like a sensory adaptation level) with a diminishing returns function for both  positive and negative outcomes   ■ Once you’ve got some money, it loses value to you  ■ e.g. $1 vs. $11 doesn’t seem as different as $1000 vs. $1011 because your  reference level has changed  ■ Moving a milk jug will seem a lot lighter after moving cinder blocks rather than  empty water bottles  ○ We don’t weigh outcomes in an objective way   ■ People tend to overweight unlikely events (mega lottery) and they tend to  underweight things that are very likely   ○ Value function is steeper for losses than gains (this implies loss aversion)  ■ e.g. losing $100 hurts more than gaining $100 pleases  ■ Empirical results indicate losses are about 2x as painful as gains are  pleasurable   ■ Loss aversion: value function is steeper for losses than gains  


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