Frequently Asked Questions Flashcards

1
Q

Explain how to modify the table so that the Hungarian algorithm can be used to find the matching for which the total score is maximised?

A

Subtract each entry from a constant (eg. 10) to convert from maximising problem to minimising problem.

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2
Q

How do you know S is the source?

A

There is no flow in, only flow out.

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3
Q

Explain why AB cannot be full to capacity.

A

At most 5 flows out of AB along BC so 7 can’t enter it.

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4
Q

Explain what a maximin route is.

A

A route where the minimum arc weight on that route is largest.

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5
Q

Why does row A dominate row B?

A

No matter which card the other team plays, row B will always score less points than row A

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6
Q

Why is {ST} {ABCD} not a cut?

A

S and T are in the same set.

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7
Q

What does an action value of 1 mean in the last row?

A

It represents the transition from (0;0) to (1;1)

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8
Q

Use the table to explain how to find the route.

A

From stage (0;0) the suboptimal minimax corresponds to action 1 which corresponds to stage (1:1) etc.

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9
Q

How to use maximum flow minimum cut theorem?

A

Find cut and state this cut = flow found.
Max flow >= flow
Min cut =

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10
Q

What does zero sum mean for how you play the game?

A

Collaboration can’t benefit both players, no reason to cooperate.

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11
Q

What does zero sum mean?

A

The number of points the first player gains is equal to the number of points the second player loses.
Total number of points won is always equal to zero.

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12
Q

What does stable mean for how you play the game?

A

Playing safe is the best strategy for both players in the long run.

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13
Q

What does unstable mean for how you play the game?

A

Playing safe is not the best strategy for both players.

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14
Q

Why is a dummy activity needed between A and B?

A

So A and B both don’t have a common start and common finish.

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15
Q

Why are the critical activities equal to the maximum route on the network?

A

They have no slack and are a continuous path therefore the longest path

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16
Q

Explain why subtracting 5 from the scores gives a zero sum game.

A

For each pairing the total of the points equals 10, so taking away 5 makes the total 0. Eg 7 and 3 –> 2 and -2

17
Q

How do you know M is a maximin solution?

A

We want to maximise M which only differs from m by a constant, and m is the minimum expected value for each value of p.

18
Q

Why is 10 subtracted from the scores?

A

HA solves minimum allocation problem so subtracting from 10 converts it from a maximising to minimising problem.

19
Q

Why is p1+p2+p3 =

A

So the simplex algorithm can be used.

20
Q

Amy plays using her optimal strategy, why might she win more than her expected payoff?

A

Bea might not play her best strategy.

21
Q

Why is three taken away from m in the objective row?

A

3 is added throughout for non negativity, this gets rid of it again.

22
Q

Why is it m=

A

The expected payoff can’t be less than the minimum of the three expressions so it must be less than or equal to.