Timezone: »
In collective decision making, members of a group need to coordinate their actions in order to achieve a desirable outcome. When there is no direct communication between group members, one should decide based on inferring others' intentions from their actions. The inference of others' intentions is called "theory of mind" and can involve different levels of reasoning, from a single inference on a hidden variable to considering others partially or fully optimal and reasoning about their actions conditioned on one's own actions (levels of “theory of mind”). In this paper, we present a new Bayesian theory of collective decision making based on a simple yet most commonly observed behavior: conformity. We show that such a Bayesian framework allows one to achieve any level of theory of mind in collective decision making. The viability of our framework is demonstrated on two different experiments, a consensus task with 120 subjects and a volunteer's dilemma task with 29 subjects, each with multiple conditions.
Author Information
Koosha Khalvati (University of Washington)
Saghar Mirbagheri (New York University)
Seongmin A. Park (Cognitive Neuroscience Center, CNRS)
Jean-Claude Dreher (cnrs)
Rajesh PN Rao (University of Washington)
More from the Same Authors
-
2022 : Using Sum-Product Networks to estimate neural population stutcture in the brain »
Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice -
2022 : VI2N: A Network for Planning Under Uncertainty based on Value of Information »
Samantha Johnson · Michael Buice · Koosha Khalvati -
2023 : Value Iteration with Value of Information Networks »
Samantha Johnson · Michael Buice · Koosha Khalvati -
2023 : Decision confidence reflects maximum entropy reinforcement learning »
Amelia Johnson · Michael Buice · Koosha Khalvati -
2023 Poster: Expressive probabilistic sampling in recurrent neural networks »
Shirui Chen · Linxing Jiang · Rajesh PN Rao · Eric Shea-Brown -
2019 : Poster Session »
Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar -
2016 : Rajesh Rao - Modeling human decision making using POMDPs »
Rajesh PN Rao -
2016 Poster: A Probabilistic Model of Social Decision Making based on Reward Maximization »
Koosha Khalvati · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao -
2015 Poster: A Bayesian Framework for Modeling Confidence in Perceptual Decision Making »
Koosha Khalvati · Rajesh PN Rao -
2014 Poster: Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks »
Yanping Huang · Rajesh PN Rao -
2012 Poster: How Prior Probability Influences Decision Making: A Unifying Probabilistic Model »
Yanping Huang · Abram Friesen · Timothy Hanks · Michael N Shadlen · Rajesh PN Rao -
2010 Oral: A rational decision making framework for inhibitory control »
Pradeep Shenoy · Rajesh PN Rao · Angela Yu -
2010 Poster: A rational decision making framework for inhibitory control »
Pradeep Shenoy · Rajesh PN Rao · Angela Yu -
2006 Poster: Learning Nonparametric Models for Probabilistic Imitation »
David Grimes · Daniel Rashid · Rajesh PN Rao