<span class="vcard">Steve Nadis | MIT Laboratory for Information and Decision Systems</span>
Steve Nadis | MIT Laboratory for Information and Decision Systems
Algorithms Artificial Intelligence Electrical engineering and computer science (EECS) Game theory Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Software

In game theory, generalists sometimes win out over specialists

Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.

Algorithms Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing Research School of Engineering

When it comes to predicting people’s preferences, it pays to consider “the power of three”

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.