Peter Stone (professor)

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Peter Stone
1stone-headshot-vert.JPG
Born (1971-07-13) 13 July 1971 (age 53)
Buffalo, New York, United States
NationalityAmerican
Alma mater Carnegie Mellon University, The University of Chicago
Occupation(s) Computer Scientist, Professor
TitleTruchard Foundation Chair and University Distinguished Teaching Professor
Awards IJCAI Computers and Thought Award
Scientific career
Fields Computer Science, Robotics, Artificial Intelligence
Institutions The University of Texas
Thesis Layered Learning in Multi-Agent Systems  (1998)
Doctoral advisor Manuela Veloso
Website 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, [1] IEEE Fellow, AAAS Fellow, ACM Fellow, and Fulbright Scholar.

Contents

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. [2]

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 ]

Stone co-authored the papers that first proposed the robot soccer challenges around which Robocup was founded. [3] [4] 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 One Hundred Year Study of Artificial Intelligence (AI100), which released a report in September 2016, titled " Artificial Intelligence and Life in 2030." [5] 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. [6] [7] The report argued that AI won't automatically replace human workers, but rather, will supplement the workforce and create new jobs in tech maintenance. [6] 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. [7] [8] Stone stated that "it was a conscious decision not to give credence to this in the report." [9]

Stone subsequently served as chair of the AI100 Standing Committee from 2018 to 2023, during which time the report of the second cycle of the AI100 study, chaired by Michael Littman, was published in 2021. [10] [11]

He serves as the Director of Texas Robotics and was a co-founder of The UT Austin 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. [12]

In February of 2022, he co-authored a paper that appeared on the cover of Nature entitled Outracing champion Gran Turismo drivers with deep reinforcement learning, which reported on the creation of GT Sophy, a superhuman driving agent in Gran Turismo that was subsequently released into the video game.

Honors and awards

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References

  1. ↑ "Current AAAI Fellows" . Retrieved 21 January 2015.
  2. ↑ "Peter Stone's Bio".
  3. ↑ "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".
  4. ↑ "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".
  5. ↑ "Report: Artificial intelligence to transform urban cities". Houston Chronicle . 1 September 2016. Retrieved 1 October 2016.
  6. 1 2 Dussault, Joseph (4 September 2016). "AI in the real world: Tech leaders consider practical issues". The Christian Science Monitor . Retrieved 1 October 2016.
  7. 1 2 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.
  8. ↑ Knight, Will (1 September 2016). "Artificial intelligence wants to be your bro, not your foe". MIT Technology Review . Retrieved 1 October 2016.
  9. ↑ Markoff, John (15 December 2014). "Study to Examine Effects of Artificial Intelligence". The New York Times. Retrieved 1 October 2016.
  10. ↑ Stacey, Kevin (16 Sep 2021). "New Report Assesses Progress and Risks of Artificial Intelligence". Stanford University HAI News and Announcements. Retrieved 2022-01-20.
  11. ↑ McKendrick, Joe (18 Sep 2021). "Artificial intelligence success is tied to ability to augment, not just automate". ZDNet. Retrieved 2022-01-20.
  12. ↑ "Publications by Peter Stone".
  13. ↑ "IJCAI Awards".
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