{"id":330154,"date":"2026-05-06T14:23:49","date_gmt":"2026-05-06T08:53:49","guid":{"rendered":"https:\/\/ebiztoday.news\/?p=330154"},"modified":"2026-05-06T14:23:49","modified_gmt":"2026-05-06T08:53:49","slug":"games-people-and-machines-play-untangling-strategic-reasoning-to-advance-ai-mit-news","status":"publish","type":"post","link":"https:\/\/ebiztoday.news\/index.php\/2026\/05\/06\/games-people-and-machines-play-untangling-strategic-reasoning-to-advance-ai-mit-news\/","title":{"rendered":"Games people \u2014 and machines \u2014 play: Untangling strategic reasoning to advance AI | MIT News"},"content":{"rendered":"
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Gabriele Farina grew up in a small town in a hilly winemaking region of northern Italy. Neither of his parents had college degrees, and although each were convinced they \u201cdidn\u2019t understand math,\u201d Farina says, they bought him the technical books he wanted and didn\u2019t discourage him from attending the science-oriented, moderately than the classical, highschool.<\/p>\n

By around age 14, Farina had focused on an idea that might prove foundational to his profession.<\/p>\n

\u201cI used to be fascinated very early by the concept a machine could make predictions or decisions so significantly better than humans,\u201d he says. \u201cThe proven fact that human-made mathematics and algorithms could create systems that, in some sense, outperform their creators, all while constructing on easy constructing blocks, has at all times been a significant source of awe for me.\u201d<\/p>\n

At age 16, Farina wrote code to resolve a board game he played together with his 13-year-old sister.<\/p>\n

\u201cI used game after game to compute the optimal move and prove to my sister that she had already lost long before either of us could see it ourselves,\u201d Farina says, adding that his sister was less enthralled together with his recent system.<\/p>\n

Now an assistant professor in MIT\u2019s Department of Electrical Engineering and Computer Science (EECS) and a principal investigator on the Laboratory for Information and Decision Systems (LIDS), Farina combines concepts from game theory with such tools as machine learning, optimization, and statistics to advance theoretical and algorithmic foundations for decision-making.<\/p>\n

Enrolling at Politecnico di Milano for school, Farina studied automation and control engineering. Over time, nonetheless, he realized that what activated his interest was not \u201cjust applying known techniques, but understanding and increasing their foundations,\u201d he says. \u201cI steadily shifted increasingly more toward theory, while still caring deeply about demonstrating concrete applications of that theory.\u201d<\/p>\n

Farina\u2019s advisor at Politecnico di Milano, Nicola Gatti, professor and researcher in computer science and engineering, introduced Farina to research questions in computational game theory and encouraged him to use for a PhD. On the time, being the primary in his immediate family to earn a school degree and living in Italy, where doctoral degrees are handled in another way, Farina says he didn\u2019t even know what a PhD was.<\/p>\n

Nevertheless, one month after graduating together with his undergraduate degree, Farina began a doctoral degree in computer science at Carnegie Mellon University. There, he won distinctions for his research and dissertation, in addition to a Facebook Fellowship in Economics and Computation.<\/p>\n

As he was ending his doctorate, Farina worked for a yr as a research scientist in Meta\u2019s Fundamental AI Research Labs. One in all his major projects was helping to develop Cicero, an AI that was in a position to beat human players in a game that involves forming alliances, negotiating, and detecting when other players are bluffing.<\/p>\n

Farina says, \u201conce we built Cicero, we designed it in order that it might not conform to form an alliance if it was not in its interest, and it likewise understood whether a player was likely lying, because for them to do as they proposed can be against their very own incentives.\u201d<\/p>\n

A 2022 article within the MIT Technology Review<\/em> said Cicero could represent advancement toward AIs that may solve complex problems requiring compromise.<\/p>\n

After his yr at Meta, Farina joined the MIT faculty. In 2025, he was distinguished with the National Science Foundation CAREER Award. His work \u2014 based on game theory and its mathematical language describing what happens when different parties have different objectives, after which quantifying the \u201cequilibrium\u201d where nobody has a reason to vary their strategy \u2014 goals to simplify massive, complex real-world scenarios where calculating such an equilibrium could take a billion years.<\/p>\n

\u201cI research how we will use optimization and algorithms to really find these stable points efficiently,\u201d he says. \u201cOur work tries to shed recent light on the mathematical underpinnings of the idea, higher control and predict these complex dynamical systems, and uses these ideas to compute good solutions to large multi-agent interactions.\u201d<\/p>\n

Farina is very desirous about settings with \u201cimperfect information,\u201d which implies that some agents have information that’s unknown to other participants. In such scenarios, information has value, and participants should be strategic about acting on the knowledge they possess in order not to disclose it and reduce its value. An on a regular basis example occurs in the sport of poker, where players bluff with a purpose to conceal details about their cards.<\/p>\n

In line with Farina, \u201cwe now live in a world by which machines are much better at bluffing than humans.\u201d<\/p>\n

A situation with \u201cmassive amounts of imperfect information,\u201d has brought Farina back to his board-game beginnings. Stratego is a military strategy game that has inspired research efforts costing thousands and thousands of dollars to provide systems able to beating human players. Requiring complex risk calculation and misdirection, or bluffing, it was possibly the one classical game for which major efforts had failed to provide superhuman performance, Farina says.<\/p>\n

With recent algorithms and training costing lower than $10,000, moderately than thousands and thousands, Farina and his research team were in a position to beat the very best player of all time \u2014 with 15 wins, 4 draws, and one loss. Farina says he’s thrilled to have produced such results so economically, and he hopes \u201cthese recent techniques might be incorporated into future pipelines,\u201d he says.<\/p>\n

\u201cWe have now seen constant progress towards constructing algorithms that may reason strategically and make sound decisions despite large motion spaces or imperfect information. I’m enthusiastic about seeing these algorithms incorporated into the broader AI revolution that\u2019s happening around us.\u201d<\/p>\n<\/p><\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Gabriele Farina grew up in a small town in a hilly winemaking region of northern Italy. Neither of his parents had college degrees, and although each were convinced they \u201cdidn\u2019t understand math,\u201d Farina says, they bought him the technical books he wanted and didn\u2019t discourage him from attending the science-oriented, moderately than the classical, highschool. […]<\/p>\n","protected":false},"author":1,"featured_media":330155,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[1700,601,1022,182,395,2038,1121,3624,5793,51393],"class_list":["post-330154","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-advance","tag-games","tag-machines","tag-mit","tag-news","tag-people","tag-play","tag-reasoning","tag-strategic","tag-untangling"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/330154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/comments?post=330154"}],"version-history":[{"count":2,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/330154\/revisions"}],"predecessor-version":[{"id":330157,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/330154\/revisions\/330157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/media\/330155"}],"wp:attachment":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/media?parent=330154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/categories?post=330154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/tags?post=330154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}