Problem Solving and Reasoning Flashcards

1
Q

Dunker (1926) definition of Problem Solving

A

A problem arises when a living organism has a goal, but does not know how this goal is to be reached.
Solution is not in memory
Goal directed

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2
Q

Mayer (1992) definition of Problem Solving

A

A sequence of mental processes or operations performed on information in a subject’s memory.
Behaviour due to cognitive processes

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3
Q

Tautological Problems

A

Always true

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4
Q

2 Research Methods of Studying Problem solving

A
  • Protocol analysis:
    Ask people how they solve a problem
    Record ‘thinking aloud
  • Computer simulations
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5
Q

Well-defined Problems

A

Clear start state, goal state and operators

3x = 6, what is x?
Real world problems messy
Find basic principles from easy tasks
Generalise to complex problems

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6
Q

Ill-defined Problems

A

Lack the qualities of well defined problems
More like real life
Search strategies not used
Harder to theorise about

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7
Q

State Space Diagram

A
Well-defined Problems
No knowledge necessary
Solved quickly
Can be systemically changed
Tower of Hanoi
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8
Q

Solving Well-defined problems
1 Prune the state space
2 Exploratory strategies
3 Hill climbing

A
Prune the state space
- Apply heuristics
Exploratory strategies
 - Weak heuristics e.g. avoid loops
Hill climbing
- Pick a move that takes you closer to goal
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9
Q

Means-Ends analysis - Newell & Simon (1972)

A
ToH can be broken into subgoals
Evaluate task: How do start & goal differ?
Apply operator to reduce difference
If obstacle prevents this – re-evaluate
Create subgoal: remove obstacle
Solve subgoal
Set/solve next subgoal if necessary
HOWEVER: Not all problems have clear subgoals & ID's
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10
Q

Problem Solving by Analogy - Mayer (1992)

A

Analogical reasoning occurs when we abstract a solution strategy from a previous [base] problem and relate that information to a new [target] problem that we are trying to solve. Indeed, we engage in analogical reasoning when we solve a new problem by using what we know about a related problem that we can solve.

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11
Q

Isomorphic Problems - Hayes & Simon, 1977

Why is the ToH problem easier to solve than the Monsters and Globes problem? (3 reasons)

A
  1. Harder to learn rules for change problem
    Change rules – 3.5 mins
    Move rules – 1.5 mins
  2. Illegal moves not clear for change problem so harder to verify
    Change rules – 5.7 secs
    Move rules – 4.7 secs
  3. Rules more consistent with real world knowledge for move problem
    easier to learn
    Easier to spot illegal moves
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12
Q

Why does external representation affect the difficulty of problems?

A
External representation affects difficulty
Changes load on working memory
If WM load is raised…
If options are harder to identify…
…then planning ahead is prevented
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13
Q

Duncker’s Radiation Problem can be solved how?

A

By analogy. Map the features of the fortress story [base] onto this one [target] and infer missing detail.

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14
Q

Problem Solving Schemas - Gick & Holyoak (1983)

A

Crit problem solving by analogy
Schema = abstract description of common features & general principles
Domain specific
Schema make transfer easier
But:
Multiple stories needed to create schema
Target problem must be similar → activation

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15
Q

Features of Inductive Reasoning

A

Inferring rules
Making generalisations
Detecting order out of chaos
Cannot be valid, but can be plausible

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16
Q

Features of Deductive Reasoning

A

An inference that must be true as long as given information is correct
New information is not created

17
Q

Features of Conditional Reasoning

A
If you are thirsty there is tea in the pot 
There will be tea in the pot anyway!
The rule is expressed as ‘If p then q’
Modus Ponens
Modus Tollens
18
Q

Features of Biconditional reasoning

A

If you do well, then you will get a prize.
Must use the biconditional interpretation (if and only if) otherwise there is no point to the rule
Affirming the Consequent - e.g. if it rains then i will get wet - There are other events that could make me wet instead of rain
Denying the Antecedent - ‘not raining’

19
Q

Deductive reasoning
Evans (1993) - important for intelligent behaviour
Johnson-Laird (1991) ……?

A

You need to make deductions in order to formulate plans and to evaluate actions; to determine the consequences of assumptions and hypotheses; to interpret and to formulate instructions, rules and general principles; to pursue arguments and negotiations; to weigh evidence and assess data; to decide between competing theories and to solve problems. A world without deduction would be a world without science, technology, laws, social conventions and cultur

20
Q

Mental Models

A

Construct a model of a state of the world consistent with the premises
Attempt to form a tentative conclusion
Attempt to build new models that falsify the conclusion
If there is falsification, attempt to find a new conclusion that applies to all models

21
Q

Deduction Rules - Rips (1990)

A

The mind works with abstract rules of logic in order to make inferences
The abstract logical form of premises etc. is extracted
The relevant rules are chosen
The rules are applied in order to make inferences
The inferences are converted back into their original entities

22
Q

2 problems with theories of deduction

A
Facilitation (check who is drinking illegally) 
Social contract theory (cheating module in our brain)