Thinking, Intelligence, and Language: Understanding Cognition and Reasoning - Prof. Z. A. , Study notes of Psychology

This chapter explores various aspects of thinking, intelligence, and language. Topics include analogical and symbolic representation, concepts, reasoning, decision making, problem solving, creativity, and intelligence theories. Discover different models of concepts, heuristics for decision making, and biases that affect reasoning.

Typology: Study notes

Pre 2010

Uploaded on 12/08/2010

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Chapter 8: Thinking and Intelligence (and language… for some reason)
Cognition: mental activity such as thinking or representing information
Analogical representation: has some of the physical characteristics of an object
Symbolic representation: does not correspond to the physical features of an object or idea
Concept: mental representation that groups or categorizes objects, events, or relations
around common themes
Defining attribute model : concepts are characterized by a list of features that are
necessary to determine if an object is a member of the category
Prototype model : best example of a category. Some representatives of a class are
more prototypical of a category than others
Exemplar model : when you see something, you compare it to all other of that
category you have seen. Each past memory serves as an exemplar
Reasoning: using information to determine of a conclusion is valid or reasonable
Decision making : selecting the best alternative among several options
oAlgorithm : procedure that always yields the correct answer
oHeuristic : shortcuts used to reduce the amount of thinking needed
Available heuristic : overestimate information that stands out in our
minds (car vs. plane crash)
Representativeness heuristic : rule for categorization based on how
similar the person or object is to our prototype for that category
Hindsight bias : “I knew it all along”
oFraming : effect of presentation on how information is perceived
Prospect theory : need to take into account wealth and loss aversion
oParadox of choice : too many choices = less satisfaction
Satisfiers : “good enough”
Maximizer : must be the best choice, take longer
oConfirmation bias : searching for information that supports our view
oBelief perseverance : maintaining a belief after contradictory evidence
Problem solving : finding a way around an obstacle to reach a goal
oInsight : sudden realization of a solution to a problem
oRestructuring : thinking about a problem in a new way that aids to its
solution
Functional fixedness : not thinking “outside the box”
oMental set : a problem solving strategy that has worked in the past
Deductive reasoning : using a belief or rule to determine if a conclusion is valid
(broad to specific)
Inductive reasoning : using examples or instances to determine if a rule or
conclusion is likely to be true (specific to broad)
To improve reasoning :
oAvoid judgment biases : don’t base decision on biases
oMeans-ends analysis : consider the endpoint, work backwards
oThink outside the box : avoid functional fixedness
oSocialize : work with others
Creativity: ability to think of something novel
Divergent thinking : thinking of multiple solutions, appose to convergent thinking
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Chapter 8: Thinking and Intelligence (and language… for some reason) Cognition: mental activity such as thinking or representing information Analogical representation: has some of the physical characteristics of an object Symbolic representation: does not correspond to the physical features of an object or idea Concept: mental representation that groups or categorizes objects, events, or relations around common themes  Defining attribute model: concepts are characterized by a list of features that are necessary to determine if an object is a member of the category  Prototype model: best example of a category. Some representatives of a class are more prototypical of a category than others  Exemplar model: when you see something, you compare it to all other of that category you have seen. Each past memory serves as an exemplar Reasoning: using information to determine of a conclusion is valid or reasonable  Decision making: selecting the best alternative among several options o Algorithm: procedure that always yields the correct answer o Heuristic: shortcuts used to reduce the amount of thinking needed  Available heuristic: overestimate information that stands out in our minds (car vs. plane crash)  Representativeness heuristic: rule for categorization based on how similar the person or object is to our prototype for that category  Hindsight bias: “I knew it all along” o Framing: effect of presentation on how information is perceived  Prospect theory: need to take into account wealth and loss aversion o Paradox of choice: too many choices = less satisfaction  Satisfiers: “good enough”  Maximizer: must be the best choice, take longer o Confirmation bias: searching for information that supports our view o Belief perseverance: maintaining a belief after contradictory evidence  Problem solving: finding a way around an obstacle to reach a goal o Insight: sudden realization of a solution to a problem o Restructuring: thinking about a problem in a new way that aids to its solution  Functional fixedness: not thinking “outside the box” o Mental set: a problem solving strategy that has worked in the past  Deductive reasoning: using a belief or rule to determine if a conclusion is valid (broad to specific)  Inductive reasoning: using examples or instances to determine if a rule or conclusion is likely to be true (specific to broad)  To improve reasoning: o Avoid judgment biases: don’t base decision on biases o Means-ends analysis: consider the endpoint, work backwards o Think outside the box: avoid functional fixedness o Socialize: work with others Creativity: ability to think of something novel  Divergent thinking: thinking of multiple solutions, appose to convergent thinking

Intelligence: human ability to use knowledge, solve problems, understand complex ideas, learn quickly, and adapt to environmental challenges  Galton: intelligence is inherited, neural efficiency  Binet-Simon intelligence scale: intelligence is a collection of mental skills, measured French children’s vocabulary, memory, numbers skills, etc o Stanford-Binet: revised for American children  Wechsler Adult Intelligence Scale (WAIS): verbal (comprehension, vocabulary, and general knowledge), performance (nonverbal tasks), most popular today  Mental age: intelligence relative to peers comparing test scores with the average o Intelligence quotient (IQ): dividing the mental age by the real age  Factor analysis: o General intelligence (Spearman); idea that one general factor (g) underlies all mental abilities, with specific intelligence (s) as parts of it o Cartell’s crystallized/fluid intelligence:  Fluid intelligence: information processing in novel or complex circumstances  Crystallized intelligence: knowledge acquired through experience and the ability to use that knowledge o Multiple intelligence (Gardner): idea that people can show different skills in a variety of different domain (bodily-kinesthetic, linguistics, mathematical/logical, spatial, intrapersonal, and interpersonal) o Sternberg’s triarchic factors: analytical (academic), creative (insight), practical (everyday tasks)  Emotional intelligence (EQ, Golman): form of social intelligence that emphasizes the ability to perceive, understand, manage, and use emotions to guide thoughts and actions o Bonanno: flexibility ability to express/repress emotions  Flynn effect: IQ scores rising dramatically each year, needing restandardization  Stereotype threat: apprehension about confirming negative stereotypes related to one’s own group  Types of tests: Achievement (current knowledge and accomplishments), aptitude (potential), speed, power (difficult, to test limit of knowledge)  Validity of testing: o Face: does it measure what it’s supposed to? o Content: does it reflect the whole range of material? o Criterion: concurrent (current performance) or predictive (future) o Construct: can it be correlated to similar, established measure?  Standardization: standardized to rest of population Language: tool of cognition, forms a bridge between past/present/future, facilitates social interaction Broca’s area: motor speech area Wernicke’s area: speech perception area Noah Chomsky: universal grammar & language acquisition device Arbitrary units: speech sounds to refer to different objects in the environment  Phoneme: smallest unit of sound