Using large-scale experiments and machine learning to discover theories of human decision-making

JC Peterson, DD Bourgin, M Agrawal, D Reichman… - Science, 2021 - science.org
Predicting and understanding how people make decisions has been a long-standing goal in
many fields, with quantitative models of human decision-making informing research in both …

From data mining to wisdom mining

S Khan, M Shaheen - Journal of Information Science, 2023 - journals.sagepub.com
The knowledge gained from data mining is highly dependent on the experience of an expert
for further analysis to increase effectiveness and wise decision-making. This mined …

Cognitive model priors for predicting human decisions

DD Bourgin, JC Peterson, D Reichman… - International …, 2019 - proceedings.mlr.press
Human decision-making underlies all economic behavior. For the past four decades, human
decision-making under uncertainty has continued to be explained by theoretical models …

A survey on hybrid human-artificial intelligence for autonomous driving

H Ning, R Yin, A Ullah, F Shi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the continuous development of Artificial Intelligence (AI), autonomous driving has
become a popular research area. AI enables the autonomous driving system to make a …

Predicting human decisions with behavioral theories and machine learning

O Plonsky, R Apel, E Ert, M Tennenholtz… - arXiv preprint arXiv …, 2019 - arxiv.org
Behavioral decision theories aim to explain human behavior. Can they help predict it? An
open tournament for prediction of human choices in fundamental economic decision tasks is …

Re-engineering justice? Robot judges, computerised courts and (semi) automated legal decision-making

J Morison, A Harkens - Legal Studies, 2019 - cambridge.org
This paper takes a sceptical look at the possibility of advanced computer technology
replacing judges. Looking first at the example of alternative dispute resolution, where …

AI for explaining decisions in multi-agent environments

S Kraus, A Azaria, J Fiosina, M Greve, N Hazon… - Proceedings of the AAAI …, 2020 - aaai.org
Explanation is necessary for humans to understand and accept decisions made by an AI
system when the system's goal is known. It is even more important when the AI system …

A security games inspired approach for distributed control of pandemic spread

A Alexi, A Rosenfeld, T Lazebnik - Advanced Theory and …, 2023 - Wiley Online Library
Pandemics are a source of extensive mortality, economic impairment, and dramatic social
fluctuation. Once a pandemic occurs, policymakers are faced with the highly challenging …

Bounds and dynamics for empirical game theoretic analysis

K Tuyls, J Perolat, M Lanctot, E Hughes… - Autonomous Agents and …, 2020 - Springer
This paper provides several theoretical results for empirical game theory. Specifically, we
introduce bounds for empirical game theoretical analysis of complex multi-agent …

Providing explanations for recommendations in reciprocal environments

A Kleinerman, A Rosenfeld, S Kraus - … of the 12th ACM conference on …, 2018 - dl.acm.org
Automated platforms which support users in finding a mutually beneficial match, such as
online dating and job recruitment sites, are becoming increasingly popular. These platforms …