Pareto Optimality

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Pareto optimality in game theory answers a very specific question of whether an outcome can be better than the other? Pareto optimality is a notion of efficiency or optimality for all the members involved. An outcome of a game is Pareto optimal if there is no other outcome that makes every player at least as well off and at least one player strictly better off. That is to say, a Pareto optimal outcome cannot be improved upon without hurting at least one player.
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[@69erthx1138]

You had me at Pareto's optimality.

[@laravisser7614]

would like an worked out example on how to find one

[@Jaiston]

Very good Presentation.

[@LatpateShubhamManikrao]

nicely explained

[@farabiahmed7541]

smooth presentation with good vidual objects... 💘

[@BB-wh2vm]

@3:21 How is 3:0 Pareto efficient cause it make the person worse of by far

[@yudong8820]

since improving 0 to 1 will cause the first player drop from 3 to 2, where at equilibrium 1:1, one of the player can increase 1 to 2 without hurting the other.

[@meloanddiiv1418]

@@yudong8820 The first player wont drop from 3 to 2, but 3 to 1 or 3 to 1, if they decide to change their strategi

[@janettew3511]

nice

[@WakaWaka2468]

Hi

[@olimikkelsen8788]

John nash

[@wobbel4487]

What a very annoying voice. Is it computer-generated?

[@ammarseud5461]

What an annoying comment. Is this a bot?