Using ideas from game theory to improve the reliability of language models
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
What lies beneath
In a new book, an MIT scholar examines how game-theory logic underpins many of our seemingly odd and irrational decisions.
Evaluating the competition between autonomous vehicles and public transit
SMART study determines benefits of competition and potential impact for future urban cities and transport systems.
A better kind of cybersecurity strategy
New model shows why countries that retaliate too much against online attacks make things worse for themselves.
How “information gerrymandering” influences voters
Study analyzes how networks can distort voters’ perceptions and change election results.
Study offers new view of how cartels work
Less data-sharing among firms can actually lead to more collusion, economists find.
What game theory tells us about politics and society
Economist Alexander Wolitzky uses game theory to model institutions, networks, and social dynamics.
Constantinos Daskalakis wins prestigious Nevanlinna Prize
Professor of electrical engineering and computer science is honored for his contributions to theoretical computer science.
Parag Pathak wins John Bates Clark Medal
MIT economist lauded for work on education, market-design mechanisms.
![“We try to understand how the rules [for firms] should be written in a way that provides members incentives to do research and work hard, and doesn’t yield disproportionate power to an individual,” says economist Alessandro Bonatti.](/sites/default/files/styles/term_page__news_article/public/images/201707/MIT-alessandro_bonatti.jpg?itok=tI_DQ9AC)
Modeling innovation
Economist Alessandro Bonatti’s theoretical studies illuminate the behavior of firms and prices.
Using evolutionary dynamics and game theory to understand personal relations
MIT biophysicists apply mathematics from evolutionary biology to describe a surprising aspect of human behavior.
Using data from social networks to understand and improve systems
Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.
Computer science meets economics
Constantinos Daskalakis adapts techniques from theoretical computer science to game theory.
Asuman Ozdaglar appointed to Keithley Professorship
Professor of electrical engineering and computer science has been appointed to the Joseph F. and Nancy P. Keithley Professorship in Electrical Engineering.