For Bayesian Wannabes, Are Disagreements Not About Info? - PowerPoint PPT Presentation

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For Bayesian Wannabes, Are Disagreements Not About Info?

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Speculative trading, wars, juries, ... Argue in science, politics, family, ... Theory seems to say this irrational. Possible explanations. We're 'just joshing' ... – PowerPoint PPT presentation

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Title: For Bayesian Wannabes, Are Disagreements Not About Info?


1
For Bayesian Wannabes, Are Disagreements Not
About Info?
  • Robin Hanson
  • Economics, GMU

2
The Puzzle of Disagreement
  • Persistent disagreement ubiquitous
  • Speculative trading, wars, juries,
  • Argue in science, politics, family,
  • Theory seems to say this irrational
  • Possible explanations
  • Were just joshing
  • Infeasible epistemic rationality
  • Fixable irrationality all will change!
  • Other rationality truth not main goal

3
My Answer We Self-Deceive
  • We biased to think better driver, lover,
  • I less biased, better data analysis
  • Evolutionary origin helps us to deceive
  • Mind leaks beliefs via face, voice,
  • Leak less if conscious mind really believes
  • Beliefs like clothes
  • Function in harsh weather, fashion in mild

4
We Cant Agree to Disagree
  • Aumann in 1976
  • Re possible worlds
  • Common knowledge
  • Of exact E1x, E2x
  • Would say next
  • For Bayesians
  • With common priors
  • If seek truth, not lie
  • Since generalized to
  • Impossible worlds
  • Common Belief
  • A f(, ), or who max
  • Last (E1x - E1E2x)
  • At core, or Wannabe
  • Symmetric prior origins

5
Generalize to Bounded Rationality
  • Bayesians (with common prior)
  • Possibility-set agents balanced (Geanakoplos
    89), or Know that they know (Samet 90),
  • Turing machines prove all computable in finite
    time (Medgiddo 89, Shin Williamson 95)
  • Many more specific models

6
Consider Bayesian Wannabes
Pure Agree to Disagree?
Disagree Sources
  • Prior
  • Info
  • Errors

Yes No Yes

Either combo implies pure version!
Ex E1p _at_ 3.14, E2p _at_ 22/7
7
Theorem in English
  • If two Bayesian wannabes
  • nearly agree to disagree about any X,
  • nearly agree that both think they nearly
    unbiased,
  • nearly agree that one agents estimate of others
    bias is consistent with a certain simple
    algebraic relation
  • Then they nearly agree to disagree about Y, one
    agents average error regarding X.
  • (Y is state-independent, so info is
    irrelevant).

8
Notation
9
More Notation
10
Still More Notation
11
Let 1,2 Agree to Disagree Re X
12
Theorems
1
2
13
Theorem in English
  • If two Bayesian wannabes
  • nearly agree to disagree about any X,
  • nearly agree that both think they nearly
    unbiased,
  • nearly agree that one agents estimate of others
    bias is consistent with a certain simple
    algebraic relation
  • Then they nearly agree to disagree about Y, one
    agents average error regarding X.
  • (Y is state-independent, so info is
    irrelevant).

14
Consider Bayesian Wannabes
Pure Agree to Disagree?
Disagree Sources
  • Prior
  • Info
  • Errors

Yes No Yes

Either combo implies pure version!
Ex E1p _at_ 3.14, E2p _at_ 22/7
15
Conclusion
  • Bayesian wannabes are a general model of
    computationally-constrained agents.
  • Add minimal assumptions that maintain some
    easy-to-compute belief relations.
  • For such Bayesian wannabes, A.D. (agreeing to
    disagree) regarding X(w) implies A.D. re Y(w)Y.
  • Since info is irrelevant to estimating Y, any
    A.D. implies a pure error-based A.D.
  • So if pure error A.D. irrational, all are.
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