Problem Solving (1) Flashcards

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1
Q

What is meant by General Problem Solver?

A

An information processing approach to solving problems - a computer programme

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2
Q

What is meant by Means-end Analysis?

A

A technique used to solve problems that considers your current state to where you want to end up at/be (the desired state)

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3
Q

What is meant by Well/ill-defined Problems?

A

Problems that have a clear end people (or less clear end-point)

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4
Q

What is a problem?

A
  • A situation where your current state isn’t the same (or good enough) as your goal state
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5
Q

What are the types of problems?

A

Lab problems
Real-world problems
Well-defined problems
Ill-defined problems

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6
Q

What is meant by action selection and outcome evaluation?

A

Action selection = you don’t have to attempt a problem at all

Outcome evaluation = how do you decide if the problem is over?

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7
Q

What is Thorndike’s law of effect?

A

Thorndike (1898 - 1911):

  • keep doing satisfying things, stop doing dissatisfying things
  • used trial and error approach
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8
Q

What is imagery?

A
  • Pinker’s ‘mentalese’ - visualise the world

- mental imagery

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9
Q

What is the mental rotation task?

A

Shepard Melzer task:

  • Do the shapes match?
  • imagine what the shapes look like at different angles
  • (mental rotation)
  • looked at eye movement and compared them to the mental rotation only task = have to solve SM with mental rotation
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10
Q

Explain Gestalt Pscyhology

A

Gestalt Psychology follows ‘the whole is greater than the sum of its parts’ - a holistic viewpoint

  • Productive = come up with a new idea to solve the problem
  • Reproductive = analyse the problem, apply existing knowledge to solve the problem
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11
Q

What is Problem Solving?

A
  • Governed by recentering something which originates in the desire to get comprehensive insight
  • brings transformation, seeing things as parts of a new, clear structure
  • 2 direction are involved in problem solving: getting a whole consistent picture and seeing what the structure of the whole requires for the parts - Wertheimer, (1945)
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12
Q

What did Kohler do/study with Chimpanzees?

A
  • Sultan (a chimpanzee)
  • Kohler got Sultan to solve novel problems in order to get a food reward
  • Sultan couldn’t reach it
  • So restructured the problem by using a box to stand on
  • Is this evidence for productive thinking?
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13
Q

What evidence is there for Gestalt Theory?

A

Pask et al., (1967):
- Students given cards to sort, using any method they want to
- some detailed descriptions(/descriptors) were given and others were general statements
- Answer/Findings = hierarchy thinking, like biological classification when solving problems/sorting the cards
Additional findings:
- some start with general statements and fill in the descriptors later
- others work from the detailed descriptors up to the general statements

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14
Q

What some the limitations to Gestalt Theory?

A

How is a bad structure restructured into a better one?:

  • Incomplete mechanism
  • “self-organising properties of the cortex”

How does this work?:
- Based on simple lab tasks

But are real-world problems that simple and easy to solve?

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15
Q

What is information processing?

A
  • WWII: technological advances e.g. fight tanks, artillery, training needs code breaking all required the investigation of human cognition
  • J.J. Gibson: training pilots in WWII led to his theories about direct perception and ecological visual processes
  • during WWII - German U-boats communicated via radio signals using coding device called the enigma machine
  • British and American mathematicians, mainly Alan Turing (1912- 1954) developed and broke then enigma code to understand it (and win the war)
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16
Q

What is the Turing Machine?

A

How does a machine solve problems?

  • Turing = famous mathematician
  • Problem = crack morse codes (of the German’s) during WWII
  • Solution = built a machine to do it (Turing machine)
  • A finite state machine
17
Q

What is the problem space theory?

A

Newell and Simon (1972):

  • The more the steps = the harder the problem
  • navigate through the steps of the problem
  • e.g. Donald + Gerald = Robert
18
Q

What is the maze analogy?

A
  • Problem = get to the middle
  • Initial state = entrance
  • Goal state = middle
  • Operators = the possible moves needed to get to the middle/solve the problem
  • (Means-end analysis?)
19
Q

What is the information processing approach?

A
  • Problem = the current state isn’t the goal state
    If we assume:
  • Novel problem (no prior experience)
  • clear rules
  • well-defined start and end point
  • non-adversarial - when solving the/a problem, it isn’t against an opponent
  • How does a machine solve problems? - (computational approach)
20
Q

What is the general problem solver (GPS)?

A

Newell & Simon (1972):
Aim: asked people to think out loud to work out the strategy they were using to solve problems

Procedure:
- Researchers wrote a computer program to solve problems, based on the strategies used by humans

Findings:

  • The result = the ‘General Problem Solver (GPS)’
  • they define a goal - the solution to the problem
  • they define the current state - where you are now
  • they define the mental operators - possible moves to get to the goal state
21
Q

What is the Tower of Hanoi (study)?

A

Operator:

  • Only 1 disk can be moved at a time
  • you can only move the top disc in a stack of discs
  • you can’t put a larger disc on top of a smaller disc
22
Q

What is ‘Means-end Analysis’?

A
  • Look at where you currently are, where you want to be and how to get there
  • problem solving is a production of knowledge states by the application of mental operators
  • the operators encode legal moves and restrictions disallowing illegal moves
  • there may be alternative/multiple paths from an initial state to a goal state
23
Q

What is meant by depth-first search?

A
  • Don’t just scroll through all the potential move available (even though this algorithm is guaranteed to reveal the answer)
  • Instead our working memory limitations might focus us to try a limited series of moves
  • you may do a depth-first search as for example - enigma machine has 158+ million settings and would take too long/a long time to check them all so something else is needed
24
Q

Depth VS Breadth approaches:

A

Depth: Breadth:
- +ive: faster - +ve: guarantees success
- +ve: often successful - -ive: requires more
effort/cognitive resources
- +ve: requires less effort - -ive: usually slower
- -ve: doesn’t guarantee success

25
Q

What is meant by navigating problem space?

A
  • People use a combination of their own knowledge and various heuristics to create new knowledge states and thereby solve problems
  • all of these processes are subject to the limited space that they are situated in (i.e. human problem solvers have working memory constraints)