EFTA02453599.pdf
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From:
Sent: Wednesday, August 24, 2016 5:11 PM
To: Jeffrey Epstein
Subject: Re:
By guessing. It seems to be a general learning problem to me; we assume =n initial causal model and update
approximating a Bayesian model based =n observation.
For instance, if I want to find out if my opponent is going to defect, I =an make a model of my opponent, where I weight
the influence of
• their expected current and future interaction reward with me
- their general principled inertia (people tend to behave consistently, =artially because it makes them generally
predictable, and partially =ecause they don't want to consider everything from first principles)
- how much they see me as an end-goal (like a parent sees their =hildren, or a teacher their pupils)
- how much reputation gain they expect from actual and imagined 3rd =arty observation
- how much "virtual" reputation gain/loss they get from defecting from =heir own values.
If one wanted to make a PED style model of this, it is probably too =omplex and perhaps it makes sense to simplify it to a
single reputation =actor. But I guess that in actual interactions, this is what we =mplicitly consider.
> On Aug 24, 2016, at 12:58, jeffrey E. <[email protected]> wrote:
> so how does one determine the matrix without knowing the internal =tate of the player.
> On Wed, Aug 24, 2016 at 12:57 PM, > =rote:
> If the hypothetical observer is expected to dole out =ewards/punishments as result of the player's actions, the player
will =dd the expected rewards to the payoff.
> Reputation can be translated into expectation of future reward, based =n a cooperation/defection function of other
players.
> On Aug 24, 2016, at 12:52, jeffrey E. <[email protected]> wrote:
>>
» in a two player game what if one player BELIVES there is an =bserver but there is not. the payoff matrix should
change.?
> --
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EFTA02453600
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EFTA02453599
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