Peter Stone (professor)
{{short description|American professor of Computer science}}
{{Third-party|date=May 2021}}
{{Infobox scientist
| name = Peter Stone
| image = 1stone-headshot-vert.JPG
| image_size =
| birth_date = {{Birth date and age|1971|7|13|df=yes}}
| birth_place = Buffalo, New York, United States
| nationality = American
| field = Computer Science, Robotics, Artificial Intelligence
| work_institution = The University of Texas
| alma_mater = Carnegie Mellon University, The University of Chicago
| doctoral_advisor = Manuela Veloso
| doctoral_students =
| thesis_title = Layered Learning in Multi-Agent Systems
| thesis_year = 1998
| thesis_url = http://reports-archive.adm.cs.cmu.edu/anon/1998/abstracts/98-187.html
| occupation = Computer Scientist, Professor
| title = Truchard Foundation Chair and University Distinguished Teaching Professor
| awards = IJCAI Computers and Thought Award
| website = {{URL|http://www.cs.utexas.edu/~pstone}}
}}
Peter Stone is an American computer scientist who holds the Truchard Foundation Chair of Computer Science at The University of Texas at Austin. He is also Chief Scientist of Sony AI, an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow,{{cite web|url=http://www.aaai.org/Awards/fellows-current.php|title=Current AAAI Fellows|accessdate=21 January 2015}} IEEE Fellow, AAAS Fellow, ACM Fellow, and Fulbright Scholar.
Educational background
He received his Ph.D. in 1998 and his M.S. in 1995 from Carnegie Mellon University, both in Computer Science. He received his B.S. in Mathematics from the University of Chicago in 1993.{{cite web |url=http://www.cs.utexas.edu/~pstone/bio_long.shtml|title=Peter Stone's Bio}}
Career
Stone continued at Carnegie Mellon as a Postdoctoral Fellow for one year. From 1999 to 2002 he was a Senior
Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs – Research. He then joined the faculty of Computer Science Department at The University of Texas at Austin as an assistant professor. He was promoted to associate professor in 2007 and full professor in 2012. Stone was an adjunct professor at NYU in AY 2001-02, and a visiting professor at Hebrew University and Bar Ilan University in AY 2008-09.{{citation needed|date=May 2021}}
Stone co-authored the papers that first proposed the robot soccer challenges around which Robocup was founded.{{cite web |url=http://www.cs.utexas.edu/~pstone/Papers/bib2html/b2hd-software-challenge97.html|title=Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada. The RoboCup Synthetic Agent Challenge 97. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pp. 24–29, Morgan Kaufmann, San Francisco, CA, 1997.}}{{cite web |url=http://www.cs.utexas.edu/~pstone/Papers/bib2html/b2hd-hardware-challenge97.html|title=Minoru Asada, Yasuo Kuniyoshi, Alexis Drogoul, Hajime Asama, Maja Mataric, Dominique Duhaut, Peter Stone, and Hiroaki Kitano. The RoboCup Physical Agent Challenge: Phase-I. Applied Artificial Intelligence, 12:251–263, 1998.}} He is President of the international RoboCup Federation since July 2019 and was a co-chair of RoboCup-2001 at IJCAI-01. Peter Stone was a Program Co-Chair of AAMAS 2006, was General Co-Chair of AAMAS 2011, and was a Program Co-Chair of AAAI-14. He has developed teams of robot soccer agents that have won RoboCup championships in the simulation (1998, 1999, 2003, 2005, 2011, 2012, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021), in the standard platform (2012) and in the small-wheeled robot (1997, 1998) leagues. He has also developed agents that have won auction trading agents competitions (2000, 2001, 2003, 2005, 2006, 2008, 2009, 2010, 2011, 2013).
Stone served as chair of the inaugural study panel of the [https://ai100.stanford.edu One Hundred Year Study of Artificial Intelligence] (AI100), which released a report in September 2016, titled "[https://ai100.stanford.edu/2016-report Artificial Intelligence and Life in 2030]."{{cite news|url=http://www.chron.com/news/houston-texas/article/New-report-shows-how-artificial-intelligence-will-9195596.php|title=Report: Artificial intelligence to transform urban cities|date=1 September 2016|work=Houston Chronicle|access-date=1 October 2016}} The panel advocated for increased public and private spending on the industry, recommended increased AI expertise at all levels of government, and recommended against blanket government regulation.{{cite news|url=http://www.csmonitor.com/Science/2016/0904/AI-in-the-real-world-Tech-leaders-consider-practical-issues|title=AI in the real world: Tech leaders consider practical issues.|last1=Dussault|first1=Joseph|date=4 September 2016|work=The Christian Science Monitor|access-date=1 October 2016}}Peter Stone et al. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA, September 2016. Doc: http://ai100.stanford.edu/2016-report. Accessed: October 1, 2016. The report argued that AI won't automatically replace human workers, but rather, will supplement the workforce and create new jobs in tech maintenance. While mainly focusing on the next 15 years, the report touched on concerns and expectations that had risen in prominence over the last decade about the risks of superintelligent robots, stating "Unlike in the movies, there's no race of superhuman robots on the horizon or probably even possible.{{cite news|last1=Knight|first1=Will|title=Artificial intelligence wants to be your bro, not your foe|url=https://www.technologyreview.com/s/602278/ai-wants-to-be-your-bro-not-your-foe/|access-date=1 October 2016|work=MIT Technology Review|date=1 September 2016}} Stone stated that "it was a conscious decision not to give credence to this in the report."{{cite news|url=https://www.nytimes.com/2014/12/16/science/century-long-study-will-examine-effects-of-artificial-intelligence.html|title=Study to Examine Effects of Artificial Intelligence|last1=Markoff|first1=John|date=15 December 2014|work=The New York Times|access-date=1 October 2016}}
Stone subsequently served as chair of the AI100 Standing Committee from 2018 to 2023, during which time the [https://ai100.stanford.edu/2021-report report of the second cycle of the AI100 study], chaired by [https://www.littmania.com Michael Littman], was published in 2021.{{Cite web|last=Stacey|first=Kevin|date=16 Sep 2021|title=New Report Assesses Progress and Risks of Artificial Intelligence|url=https://hai.stanford.edu/news/new-report-assesses-progress-and-risks-artificial-intelligence|access-date=2022-01-20|website=Stanford University HAI News and Announcements|language=en}}{{Cite web|last=McKendrick|first=Joe|date=18 Sep 2021|title=Artificial intelligence success is tied to ability to augment, not just automate|url=https://www.zdnet.com/article/artificial-intelligence-success-is-tied-to-ability-to-augment-not-just-automate/|access-date=2022-01-20|website=ZDNet|language=en}}
He serves as the Director of [https://robotics.utexas.edu Texas Robotics] and was a co-founder of The UT Austin [https://bridgingbarriers.utexas.edu/good-systems Good Systems] initiative on Ethical AI.
Research
Stone describes his research interest as understanding how we can best create complete intelligent agents. His research focuses mainly on machine learning, multiagent systems, and robotics. Application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing, and social agents.{{cite web |url=http://www.cs.utexas.edu/~pstone/Papers/bib2html/|title=Publications by Peter Stone}}
In February of 2022, he co-authored a paper that appeared on the cover of Nature entitled [https://www.nature.com/articles/s41586-021-04357-7 Outracing champion Gran Turismo drivers with deep reinforcement learning], which reported on the creation of [https://www.gran-turismo.com/us/gran-turismo-sophy/ GT Sophy], a superhuman driving agent in Gran Turismo that was subsequently released into the video game.
Honors and awards
{{BLP sources section|date=May 2021}}
- 1997, Allen Newell Medal for Excellence in Research
- 2003, CAREER award from the National Science Foundation for his research on learning agents in dynamic, collaborative, and adversarial multiagent environments.
- 2004, named an ONR Young Investigator for his research on machine learning on physical robots.
- 2007, awarded the prestigious IJCAI Computers and Thought Award, given once every two years to the top AI researcher under the age of 35.{{cite web |url=http://www.ijcai.org/awards/|title=IJCAI Awards}}
- 2008, Fulbright Award
- 2008, Guggenheim Fellow
- 2012, AAAI Fellow, Association for the Advancement of Artificial Intelligence
- 2013, awarded The University of Texas System Regents' Outstanding Teaching Award.
- 2014, inducted into the UT Austin Academy of Distinguished Teachers
- 2016, ACM/SIGAI Autonomous Agents Research Award.
- 2018, IEEE Fellow, Institute of Electrical and Electronics Engineers.
- 2019, AAAS Fellow, American Association for the Advancement of Science.
- 2021, ACM Fellow, Association for Computing Machinery.
- 2022, ACM/SIGAI Industry Award for Excellence in Artificial Intelligence.
References
{{Reflist}}
External links
- {{official website|http://www.cs.utexas.edu/~pstone/}}
- {{cite web |url=http://www.cs.utexas.edu/~pstone/cv/cv.pdf|title=Peter Stone's CV}}
{{Authority control}}
{{DEFAULTSORT:Stone, Peter}}
Category:American computer scientists
Category:American artificial intelligence researchers
Category:Carnegie Mellon University alumni
Category:University of Texas at Austin faculty
Category:Fellows of the Association for the Advancement of Artificial Intelligence