Lecture 19: Problem Solving Flashcards

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1
Q

Mental Operators

A

Applied to the initial state, get to a new state, apply more operators, and so on searching for the goal state

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2
Q

Well structured

A

stages are well defined (math)
○ You know what the initial state, goal state, and mental operators are

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3
Q

Ill Structured

A

stages are not clear (choosing a career)

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4
Q

Stages in Problems, Solving

A

○ Representing the problem
§ Very important, using graphs may make a problem easier or harder
○ Planning the problem
○ Executing the plan
○ Checking if it work
○ Retrying if needed

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5
Q

Buddhist Monk Example

A
  • Monk travels up a mountain, a few days later travels back down, is there a spot on the mountain the monk will be at on the same spot as another monk at the same time?
    ○ Easier to solve with a visual representation; of course the monks will cross paths
    • Useful to retrieve a similar representation of the problem you are solving
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6
Q

Ray Problem

A

Figure out how to apply radiation to a tumor; the solution is to shoot weak waves in many directions that all converge
* Same thing works in a military problem, but it is hard to find the analogy between the two and solve one problem after the other
* It helps to give a hint to connect the problem; people can use relevant analogies but often fail to notice them

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7
Q

Top-Down Preconceptions

A

What you already know can sometimes hinder problem solving

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8
Q

Functional Fixedness

A

People assume the function of some object is fixed

* In the candle problem you have a tack, candle, and tack box, and most people don’t consider using the tack box because it is a box not a support
* Same thing in the two-rope problem, people do not think about tying the pair of pliers to one of the ropes
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9
Q

Trains meeting problem

A

This bird flies back and forth between two trains driving towards each other. People well versed in calculus tried to solve using that but there is a much easier way to solve it

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10
Q

Luchin’s Water Jar Problem

A

People solve a task where you have to fill up bottles of water and get a specific quantity by filling it up and pouring out etc. and if you solve 5 or 6 problems in a row using the same sequence then people will stick with that strategy when it no longer applies, this is them being stuck in a mental set

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11
Q

Algorithms

A

The way you might program a computer; a sequence of steps that is guaranteed to produce a correct answer but requires a lot of way
* Unscrambling a word, guessing a password

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12
Q

Heuristics

A

Shortcuts that are not guaranteed but are fast and easy

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13
Q

Difference Reduction Heuristic

A

The idea of choosing the mental operator; if you have a lot you choose the one that reduces the difference the most between the goal and initial state
* Does not always work; sometimes we have to take a step back

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14
Q

Chess study

A

Expertise is pretty domain specific; being good at chess does not mean they are smart
* Experts are better at remembering chess boards that make sense, where novices are better at the opposite

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14
Q

Means-End Analysis Heuristic

A

Analyze the end and see what means may allow you to achieve that end
- Identify biggest difference between initial and goal state
- Do operator subgoaling; find the operator that will reduce the difference and satisfy the preconditions
- Flight, plan, airport, money, ticket, etc.

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15
Q

Hobbits and Orcs

A

3 hobbits and 3 orcs on one side of a river and one boat; get them to the other side but the orcs cant outnumber the hobits, What is the correct sequence of getting everyone across the river
* The solution looks like an early state, and many people give up at that point thinking they are not making progress when they in fact are.

16
Q

Power Law

A

You improve very rapidly initially, then it slows down

16
Q

Experts vs. Novices

A
  • Experts tend to have rich, organized schemas and use very specific representations, novices don’t
  • Experts use less heuristics
    Experts rely a lot of long-term memory and novices rely on working memory