no code implementations • 29 Dec 2023 • Nigini Oliveira, Jasmine Li, Koosha Khalvati, Rodolfo Cortes Barragan, Katharina Reinecke, Andrew N. Meltzoff, Rajesh P. N. Rao
We therefore argue that the value system of an AI should be culturally attuned: just as a child raised in a particular culture learns the specific values and norms of that culture, we propose that an AI agent operating in a particular human community should acquire that community's moral, ethical, and cultural codes.
1 code implementation • NeurIPS 2019 • Koosha Khalvati, Saghar Mirbagheri, Seongmin A. Park, Jean-Claude Dreher, Rajesh Pn Rao
We show that such a Bayesian framework allows one to achieve any level of theory of mind in collective decision making.
no code implementations • NeurIPS 2016 • Koosha Khalvati, Seongmin A. Park, Jean-Claude Dreher, Rajesh P. Rao
Our results suggest a probabilistic basis for human social decision making within the framework of expected reward maximization.
no code implementations • NeurIPS 2015 • Koosha Khalvati, Rajesh P. Rao
We show that this model, based on partially observable Markov decision processes (POMDPs), is able to predict confidence of a decision maker based only on the data available to the experimenter.