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20032026
most citedShannon Information and Kolmogorov Complexity

136 citations · 816 across the 52 of their papers we have counts for

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6 papers · 1 filter

cs.AI2014★ 1 cited

A Game-Theoretic Analysis of Updating Sets of Probabilities

Peter D. Grunwald, Joseph Y. Halpern

We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on value…

cs.AI2014★ 1 cited

When Ignorance is Bliss

Peter D. Grunwald, Joseph Y. Halpern

It is commonly-accepted wisdom that more information is better, and that information should never be ignored. Here we argue, using both a Bayesian and a non-Bayesian analysis, that…

cs.AI2014

Updating Probabilities

Peter D. Grunwald, Joseph Y. Halpern

As examples such as the Monty Hall puzzle show, applying conditioning to update a probability distribution on a ``naive space', which does not take into account the protocol used,…

cs.AI2014

Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration

Peter D Grunwald, Joseph Y Halpern

We consider how an agent should update her beliefs when her beliefs are represented by a set P of probability distributions, given that the agent makes decisions using the minimax…

cs.AI2013★ 27 cited

Maximum Entropy and the Glasses You Are Looking Through

Peter D. Grunwald

We give an interpretation of the Maximum Entropy (MaxEnt) Principle in game-theoretic terms. Based on this interpretation, we make a formal distinction between different ways of {e…

cs.AI2012★ 77 cited

Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)

Peter Grunwald, Peter Spirtes

This is the Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, which was held on Catalina Island, CA, July 8 - 11 2010.