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Record W2931032518 · doi:10.48550/arxiv.1904.00875

The Large Space of Information Structures

2019· preprint· W2931032518 on OpenAlexaff
Fabien Gensbittel, Marcin Pęski, Jérôme Renault

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Language
FieldComputer Science
TopicBayesian Modeling and Causal Inference
Canadian institutionsCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsInfimum and supremumCombinatoricsCharacterization (materials science)Metric spaceMathematicsSpace (punctuation)Finite setDiscrete mathematicsInformation structureStochastic gameSequence (biology)Interpretation (philosophy)Computer scienceMathematical economicsPhysics

Abstract

fetched live from OpenAlex

We revisit the question of modeling incomplete information among 2 Bayesian\nplayers, following an ex-ante approach based on values of zero-sum games. $K$\nbeing the finite set of possible parameters, an information structure is\ndefined as a probability distribution $u$ with finite support over $K\\times\n\\mathbb{N} \\times \\mathbb{N}$ with the interpretation that: $u$ is publicly\nknown by the players, $(k,c,d)$ is selected according to $u$, then $c$ (resp.\n$d$) is announced to player 1 (resp. player 2). Given a payoff structure $g$,\ncomposed of matrix games indexed by the state, the value of the incomplete\ninformation game defined by $u$ and $g$ is denoted $\\mathrm{val}(u,g)$. We\nevaluate the pseudo-distance $d(u,v)$ between 2 information structures $u$ and\n$v$ by the supremum of $|\\mathrm{val}(u,g)-\\mathrm{val}(v,g)|$ for all $g$ with\npayoffs in $[-1,1]$, and study the metric space $Z^*$ of equivalent information\nstructures.\n We first provide a tractable characterization of $d(u,v)$, as the minimal\ndistance between 2 polytopes, and recover the characterization of Peski (2008)\nfor $u \\succeq v$, generalizing to 2 players Blackwell's comparison of\nexperiments via garblings. We then show that $Z^*$, endowed with a weak\ndistance $d_W$, is homeomorphic to the set of consistent probabilities with\nfinite support over the universal belief space of Mertens and Zamir. Finally we\nshow the existence of a sequence of information structures, where players\nacquire more and more information, and of $\\varepsilon>0$ such that any two\nelements of the sequence have distance at least $\\varepsilon$: having more and\nmore information may lead now here. As a consequence, the completion of\n$(Z^*,d)$ is not compact, hence not homeomorphic to the set of consistent\nprobabilities over the states of the world {\\it \\`a la} Mertens and Zamir. This\nexample answers by the negative the second (and last unsolved) of the three\nproblems posed by J.F. Mertens in his paper ``Repeated Games", ICM 1986.\n

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.184
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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