A Neural Network Auction For Group Decision Making Over a Continuous Space

Bachrach, Yoram; Gemp, Ian; Garnelo, Marta; Kramar, Janos; Eccles, Tom; Rosenbaum, Dan; Graepel, Thore

doi:10.24963/ijcai.2021/706

A Neural Network Auction For Group Decision Making Over a Continuous Space

Yoram Bachrach, Ian Gemp, Marta Garnelo, Janos Kramar, Tom Eccles, Dan Rosenbaum, Thore Graepel

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 4976-4979.

https://doi.org/10.24963/ijcai.2021/706

Keywords

Multi-agent Systems: General
Machine Learning: General

Abstract

We propose a system for conducting an auction over locations in a continuous space. It enables participants to express their preferences over possible choices of location in the space, selecting the location that maximizes the total utility of all agents. We prevent agents from tricking the system into selecting a location that improves their individual utility at the expense of others by using a pricing rule that gives agents no incentive to misreport their true preferences.

The system queries participants for their utility in many random locations, then trains a neural network to approximate the preference function of each participant. The parameters of these neural network models are transmitted and processed by the auction mechanism, which composes these into differentiable models that are optimized through gradient ascent to compute the final chosen location and charged prices.

Yoram Bachrach, Ian Gemp, Marta Garnelo, Janos Kramar, Tom Eccles, Dan Rosenbaum, and Thore Graepel. 2021. A Neural Network Auction For Group Decision Making Over a Continuous Space. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4976–4979. https://doi.org/10.24963/ijcai.2021/706

@inproceedings{ijcai2021p706,
  title     = {A Neural Network Auction For Group Decision Making Over a Continuous Space},
  author    = {Bachrach, Yoram and Gemp, Ian and Garnelo, Marta and Kramar, Janos and Eccles, Tom and Rosenbaum, Dan and Graepel, Thore},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4976--4979},
  year      = {2021},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2021/706},
  url       = {https://doi.org/10.24963/ijcai.2021/706},
}

TY  - CPAPER
TI  - A Neural Network Auction For Group Decision Making Over a Continuous Space
AU  - Bachrach, Yoram
AU  - Gemp, Ian
AU  - Garnelo, Marta
AU  - Kramar, Janos
AU  - Eccles, Tom
AU  - Rosenbaum, Dan
AU  - Graepel, Thore
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4976
EP  - 4979
DO  - 10.24963/ijcai.2021/706
UR  - https://doi.org/10.24963/ijcai.2021/706
ER  -