Machine Aggregation of
Human Judgment


AAAI Fall Symposium 2012
Arlington, Virginia
November 2-4, 2012

Overview

Program Committee

Accepted Papers

Invited Speakers

Important Dates

Registration & Hotel

Program Schedule




 

Accepted Papers

 

Full papers:

  • Nicholas Mattei, Judy Goldsmith, and Andrew Klapper. On the complexity of bribery and manipulation in tournaments with uncertain information.

  • Lirong Xia. Generalized Weighted Model Counting: An Efficient Monte-Carlo Meta-Algorithm.

  • H. Van Dyke Parunak, and Elizabeth Downs. Estimating Diversity among Forecaster Models.

  • Anamaria Bera, Daniel Maxwell and Charles Twardy. Improving Forecast Accuracy using Bayesian Network Decomposition in Prediction Markets.

  • Tamsyn Waterhouse. Pay by the Bit: An Information-Theoretic Metric for Collective Human Judgment.

  • Seyda Ertekin, Haym Hirsh, and Cynthia Rudin. Selective Sampling of Labelers for Approximating the Crowd.

  • Yiftach Nagar, and Thomas W. Malone. Improving Predictions with Hybrid Markets.

  • Lyle Ungar, Barbara Mellers, Jonathon Baron, Phil Tetlock, Jaime Ramos, and Sam Swift. The Good Judgment Project: A Large Scale test of Different Methods of Combining Expert Predictions.

Extended abstracts:

  • H. Van Dyke Parunak. Cluster-Weighted Aggregation

  • Clifton Forlines, Sarah Miller, Srinivasamurthy Prakash, and John Irvine. Heuristics for Improving Forecast Aggregation.

  • Aidan Lyon, Fiona Fidler, and Mark Burgman. Judgement Swapping Improves Group Performance  

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