Agreeing to Disagree. STOR. Robert J. Aumann. The Annals of Statistics, Vol. 4, No. 6 (Nov., ), Stable URL. In “Agreeing to Disagree” Robert Aumann proves that a group of current probabilities are common knowledge must still agree, even if those. “Agreeing to Disagree,” R. Aumann (). Recently I was discussing with a fellow student mathematical ideas in social science which are 1).

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Their posterior probabilities must then be the same. Bayesian statistics Economics theorems Game theory Probability theorems Rational choice theory Statistical theorems.

Aumann’s agreement theorem – Lesswrongwiki

From Wikipedia, the free encyclopedia. Yudkowsky ‘s mentor Robin Hanson tries to handwave this with something about genetics and environment, [9] but to have sufficient common knowledge of genetics and environment for this to work practically would require a few calls to Laplace’s demon.

Views Read Edit Fossil record. For an illustration, how often do two mathematicians disagree on the invalidity of the proof within an agreed-upon framework, once one’s objections are known to the other? A question arises whether such an agreement can be reached in a reasonable dizagree-aumann and, from a mathematical perspective, whether this can be done disagree-aumannn.

Scott Aaronson [3] sharpens this theorem djsagree-aumann removing the common prior and limiting the number of messages communicated. Aumann’s agreement theorem says that two people acting rationally in a certain precise sense and with common knowledge of each other’s beliefs cannot agree to disagree.

Aumann’s agreement theorem

Theory and Decision 61 4 — Retrieved from ” https: It may be worth noting that Yudkowsky has said he wouldn’t agree to try to reach an Aumann agreement with Hanson. It was first formulated in the paper titled “Agreeing to Disagree” by Robert Aumannafter whom the theorem is named. Thus, two rational Bayesian agents with the same priors and who know each other’s posteriors will have to agree.

Articles with short description. Or the paper’s own example, the fairness of a coin — such a simple example having been chosen for accessibility, it demonstrates the problem with applying such an oversimplified concept of information to real-world situations. More specifically, if two people are genuine Bayesian rationalists with common priorsand if they each have common knowledge of their individual posterior probabilitiesthen their posteriors must be equal. The one-sentence summary is “you can’t actually agree to disagree”: The Annals of Statistics 4 6 Business and economics portal Statistics portal Mathematics portal.


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The Annals of Statistics. Unlike many questionable applications disagree-aumznn theorems, this one appears to have been the intention of the paper itself, which itself cites a paper defending the application of such techniques to the real world.

By using this site, you agree to the Terms of Use and Privacy Policy. Arrow’s impossibility theorem Aumann’s agreement theorem Folk theorem Minimax theorem Nash’s theorem Purification theorem Revelation principle Zermelo’s theorem. Scott Aaronson has shown that this is indeed the case. Scott Aaronson believes that Aumanns’s therorem can act as a corrective to disaree-aumann, and a guide as to what disagreements should look like.

The paper presents a way to measure how distant priors are from being common. For concerns on copyright infringement please see: However, Robin Hanson has presented an argument that Bayesians who agree about the processes that gave rise to their priors e. Cooperative game Disagree-aumnn Escalation of commitment Extensive-form game First-player and second-player win Zgreeing complexity Graphical game Hierarchy of beliefs Information set Normal-form game Preference Sequential game Simultaneous game Simultaneous action selection Solved game Succinct game.

For such careful definitions of “perfectly rational” and “common knowledge” this is equivalent to saying that two functioning calculators will not give different answers on the same input.

This page was last edited on 6 Octoberat Aumann’s agreement theorem [1] is the result of Robert Aumann’s, winner of the Disagree-aumann National Bank’s Agreeeing in Economic Sciences in Memory of Alfred Nobelgroundbreaking discovery that a sufficiently respected game theorist can get anything into a peer-reviewed journal.

Both sets of information include the posterior probability arrived at by the other, as well as the fact that their prior probabilities are the same, the fact that the other knows its posterior probability, the set of events that might affect probability, the fact that the other knows these things, the fact that the other knows it knows these things, the fact that atreeing other knows it knows the other knows it knows, ad infinitum this is “common knowledge”.


This theorem is almost as much a favorite of LessWrong as the “Sword of Bayes” [4] itself, because of its popular phrasing along the lines of “two agents acting rationally Polemarchakis, We can’t disagree forever, Journal of Economic Theory 28′: Both are given the same prior probability of the world being in a certain state, and separate sets of further information. Unless explicitly noted otherwise, all content licensed as indicated by RationalWiki: Retrieved from ” https: In game theoryAumann’s agreement theorem is a theorem which demonstrates that rational agents with common knowledge of each other’s beliefs cannot agree to disagree.

Simply knowing that another agent observed some information and came to their respective conclusion will force each to revise their beliefs, resulting eventually in total agreement on the correct posterior. Topics in game theory. This page was last modified on 12 Septemberat International Journal of Game Theory.

External links Twitter Facebook Discord. Studying the same issue from a different perspective, a research paper by Ziv Hellman considers what happens if priors are not common.

All-pay disagree-auman Alpha—beta pruning Bertrand paradox Bounded rationality Combinatorial game theory Confrontation analysis Coopetition First-move advantage in chess Game mechanics Glossary of game theory List of game theorists List of games in game theory No-win situation Solving chess Topological game Tragedy of the commons Tyranny of small decisions. Essentially, the proof goes that if they were not, it would mean that they did not trust the accuracy of one another’s information, or did not trust the other’s computation, since a different probability being found by a rational agent is itself evidence of further evidence, and a rational agent should recognize this, and also recognize that one would, and that this would also be recognized, and so on.

Consider two agents tasked with performing Bayesian analysis this is “perfectly rational”. Views Read Edit View history.