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David H. Wolpert
Researcher at Santa Fe Institute
Publications - 33
Citations - 598
David H. Wolpert is an academic researcher from Santa Fe Institute. The author has contributed to research in topics: Game theory & Bayesian probability. The author has an hindex of 12, co-authored 33 publications receiving 555 citations. Previous affiliations of David H. Wolpert include Ames Research Center & Los Alamos National Laboratory.
Papers
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Journal ArticleDOI
On bias plus variance
TL;DR: In this article, the authors present several additive corrections to the conventional quadratic loss bias-plus-variance formula, which is appropriate for measuring full generalization error over a test set rather than (as with conventional bias plus variance) error at a single point.
Journal ArticleDOI
Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems
Scott Backhaus,Russell Bent,James W. Bono,Ritchie Lee,Brendan D. Tracey,David H. Wolpert,Dongping Xie,Yildiray Yildiz +7 more
TL;DR: This manuscript presents an approach to develop models of the decisions of the cyber-physical intruder who is attacking the systems and the system operator who is defending it, and demonstrates its usefulness for design.
Journal ArticleDOI
Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems
Scott Backhaus,Russell Bent,James W. Bono,Ritchie Lee,Brendan D. Tracey,David H. Wolpert,Dongping Xie,Yildiray Yildiz +7 more
TL;DR: In this paper, the authors present an approach to develop such tools, i.e., models of the decisions of the cyber-physical intruder who is attacking the systems and the system operator who is defending it, and demonstrate its usefulness for design.
Journal ArticleDOI
Hysteresis Effects of Changing Parameters of Noncooperative Games
TL;DR: It is shown that by gradually imposing individual-specific tax rates on the players of the game, and then gradually removing those taxes, the players move from a poor equilibrium to one that is better for all of them.
Book ChapterDOI
Game Theoretic Modeling of Pilot Behavior during Mid-Air Encounters
Ritchie Lee,David H. Wolpert +1 more
TL;DR: This work shows how to combine Bayes nets and game theory to predict the behavior of hybrid systems involving both humans and automated components, and illustrates this novel framework by predicting aircraft pilot behavior in potential near mid-air collisions.