unit 12 Flashcards

1
Q

what are the four components of a problem?

A
  1. initial state
  2. goal state
  3. rules and constraints
  4. obstacles
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2
Q

describe initial state.

A

state at beginning of problem

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3
Q

describe goal state.

A

solution to the problem

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4
Q

describe rules and constraints

A

what you can and cannot do

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5
Q

describe obstacles.

A

must be overcome to achieve goal

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6
Q

explain the difference between a well-defined and an ill-defined problem

A

well-defined problem: clear and structured, components are well understood, when it is solved, you will know it is solved

ill-defined problem: fuzzy and abstract, components not well understood, harder to tell when a solution is reached

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7
Q

explain the difference between a routine problem and a non-routine problem.

A

routine problem: can be solved by applying well-practices procedures , components of problem are familiar

non-routine problem: components are not familiar, first-time problems are non-routine but many can become routine with practice

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8
Q

what are some challenges faced by researchers who study problem solving?

A

complex vs. simple; brief vs. time-consuming; real-world problems vs. puzzles/brain teasers; etc.

problems can be time-consuming to solve
how to observe or measure problem-solving

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9
Q

in what ways have verbal reports helped researchers understand problem-solving?

A

verbal reports generated by problem solvers as they think through the problems out loud, reveals strategies, reasoning, and decision-making steps.

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10
Q

in what ways are verbal reports limited?

A

can’t assess the accuracy of a verbal report
thinking out loud may interfere or change the thought process being described

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11
Q

describe transformation problems.

A

must find the appropriate steps or strategies to move from an initial state to a given goal state
ex. tower of hanoi

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12
Q

describe arrangement problems.

A

all problems elements presented, must figure out how to arrange them
ex: anagrams, seating chart, scheduling

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13
Q

describe induction problems.

A

given a series of exemplars or instances and must figure out the pattern or rule that relates the instances
ex: 1 2 3 5 8 13

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14
Q

describe deduction problems.

A

premises or conditions are given, and the solver must determine whether a solution/conclusion fits

ex:
- all Xs are Ys
-Z is not a Y
There, Z is not an X (is that a correct conclusion?)

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15
Q

describe divergent problems.

A

must generate as many solutions as possible
ex: describes possible uses for a shovel, brainstorm many possible career paths

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16
Q

what is creativity?

A

ability to come up with novel and appropriate solutions

17
Q

describe the behaviorist approaches to study problem solving

A

focuses on observable behaviors and reinforcement in learning problem-solving

18
Q

describe the gestalt behaviorist approach to study problem solving

A

emphasizes holistic perception and restructing problems to gain insight

19
Q

describe the information processing approach to study problem solving.

A

views problem-solving as a step-by-step process, like computer algorithms

20
Q

how important is it for a person to form an accurate representation of the problem at hand?

A

very crucial, correct solution is dependent on representation
- failure in representation = no solution

21
Q

what is “mental set”? when might it be good? when might it be bad?

A

mental set: tendency to rely on habits and procedures used in the past
good: speeds up problem-solving when the same strategy is effective
bad: prevents seeing new or better solutions (getting stuck on a past method that does not work)

22
Q

what is “functional fixedness”? Give an example of how a person might perceive an object in a functionally fixed way.

A

functional fixedness: tendency to view objects in a narrow and fixed way, based on their typical function
Ex: seeing a paperclip only as a tool for holding papers and not as a makeshift hook.

23
Q

describe how a person might use an algorithm to solve a problem. pros and cons?

A

algorithm: a set of rules can be applied systematically to solve certain types of problems

pros: guarantees correct answer (if applied correctly)
cons: may not always be fastest or easiest approach: algorithms not always available/feasible for some problem types

24
Q

describe how a person might use a heuristic to solve a problem. pros and cons?

A

heuristics: general strategies, or “rule of thumb,” that can be applied to some types of problems

pros: efficiency
cons: does not guarantee correct solution

25
Q

give an example of a problem-solving heuristic.

A

means-end analysis: breaking problems into subgoals, solving each to reduce the difference between the current and goal states

26
Q

in problem-solving, what is meant by insight? consider insight problems vs. non-insight problems: which type gives the feeling of gradual progress toward a solution? which type gives the feeling of little progress until the “Aha!” moment is reached?

A

insight: a sudden realization of a solution (“Aha!” moment)
insight problems: little progress until the solution is suddenly clear (riddles)
non-insight problems: gradual progress toward a solution (solving a math problem)

insight gives the Aha! moment

27
Q

what is meant by incubation? why does taking a break from a problem sometimes lead to a solution?

A

incubation: productive inactivity
- clears your mind of interfering info
- taking a break can help you get away from conditions/cues that produce failure, finding new conditions/cues that help

28
Q

what is meant by expertise? is it primarily a result of natural talent or extensive experience? does expertise in one domain imply expertise in other domains?

A

expertise: exceptional knowledge and/or performance in some specific problem domain

it is primarily achieved through repeated practice and experience over time to acquire an extensive body of knowledge and well-learned set of skills

*expertise in one domain does not guarantee expertise in other domains