# Peter Stone

> computer scientist at the University of Texas at Austin

**Wikidata**: [Q19364605](https://www.wikidata.org/wiki/Q19364605)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Peter_Stone_(professor))  
**Source**: https://4ort.xyz/entity/peter-stone-q19364605

## Summary
Peter Stone is an American computer scientist and professor at the University of Texas at Austin, specializing in artificial intelligence, machine learning, and robotics. He is recognized as a leading researcher in multiagent systems and autonomous agents, with significant contributions to robot soccer, trading agents, and autonomous driving applications. Stone has received numerous prestigious honors including being named an ACM Fellow, AAAI Fellow, and recipient of the IJCAI Computers and Thought Award.

## Biography
- Born: 1971 in Buffalo
- Nationality: United States
- Education: Carnegie Mellon University (educated at)
- Known for: Contributions to automated planning, learning, and multiagent systems with applications in robotics and ecommerce
- Employer(s): University of Texas at Austin
- Field(s): Computer science, artificial intelligence research, university teaching

## Contributions
Peter Stone has made groundbreaking contributions to artificial intelligence through his research in multiagent systems, machine learning, and robotics. His work spans several key areas including robot soccer, where he pioneered applications that advanced the field of autonomous agents. He has contributed significantly to trading agent research, developing algorithms and systems that have practical applications in e-commerce. His research in autonomous driving has helped shape modern approaches to self-driving vehicle technology. Stone has supervised numerous doctoral students who have gone on to make their own contributions to AI, including Shimon Whiteson, Mohan Sridharan, and Daniel Adam Stronger. His academic work has focused on automated planning, learning systems, and multiagent coordination, with applications spanning robotics and electronic commerce. Through his research and mentorship, Stone has established himself as a central figure in advancing the theoretical and practical understanding of autonomous intelligent systems.

## FAQs
### Q: What is Peter Stone's educational background?
A: Peter Stone was educated at Carnegie Mellon University. He completed his doctorate under the supervision of Manuela M. Veloso.

### Q: What awards has Peter Stone received?
A: Peter Stone has received multiple prestigious awards including AAAI Fellow (2012), IJCAI Computers and Thought Award (2007), Fellow of the American Association for the Advancement of Science (2018), Guggenheim Fellowship, and ACM Fellow (2020).

### Q: Where does Peter Stone work?
A: Peter Stone is employed by the University of Texas at Austin, where he serves as a professor in the Department of Computer Science.

## Why They Matter
Peter Stone's impact on artificial intelligence research extends across multiple domains that define modern computing. His work in multiagent systems has provided foundational frameworks for how autonomous agents interact and coordinate, influencing everything from robotic teams to algorithmic trading systems. In robotics, particularly through robot soccer research, Stone helped establish benchmarks and methodologies that advanced the entire field of autonomous mobile robotics. His contributions to machine learning have practical applications in autonomous driving and e-commerce, areas that now form critical infrastructure for modern society. As an educator and mentor, Stone has shaped the next generation of AI researchers through his supervision of numerous doctoral students who continue to advance the field. His recognition as both an AAAI Fellow and ACM Fellow underscores his sustained impact on both theoretical foundations and practical applications of artificial intelligence. Without his contributions, the development of coordinated autonomous systems and multiagent learning would likely have progressed more slowly.

## Notable For
• Named ACM Fellow in 2020 for contributions to automated planning, learning, and multiagent systems
• Recipient of the prestigious IJCAI Computers and Thought Award in 2007
• Elected as AAAI Fellow in 2012 for significant contributions to machine learning, multiagent systems, and robotics
• Guggenheim Fellowship recipient for his outstanding research contributions
• Supervised numerous successful doctoral students who became prominent researchers in AI

## Body
### Academic Career
Peter Stone holds a faculty position at the University of Texas at Austin in the Department of Computer Science. His academic journey began with education at Carnegie Mellon University, followed by doctoral studies under the guidance of Manuela M. Veloso.

### Research Focus
Stone's research encompasses several core areas of artificial intelligence including automated planning, machine learning, multiagent systems, and robotics. His work specifically addresses how autonomous agents can learn, plan, and coordinate effectively in complex environments.

### Doctoral Students
Stone has mentored numerous doctoral students throughout his career, including Shimon Whiteson, Mohan Sridharan, Daniel Adam Stronger, Matthew Edmund Taylor, Kurt Mauro Dresner, Gregory John Kuhlmann, Nicholas Kenneth Jong, David Merrill Pardoe, Juhyun Lee, and Shivaram Kalyanakrishnan.

### Professional Recognition
The Association for Computing Machinery named Stone an ACM Fellow on January 13, 2021, recognizing his contributions to automated planning, learning, and multiagent systems with applications in robotics and ecommerce. The American Association for Artificial Intelligence honored him as an AAAI Fellow in 2012 for his work in machine learning, multiagent systems, and robotics.

### Publications and Research Impact
Stone maintains an active research profile with publications in top-tier venues across AI, robotics, and machine learning. His work on robot soccer has been particularly influential in establishing competitive frameworks for testing autonomous agent technologies.

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## References

1. [Source](https://www.cs.utexas.edu/~pstone/)
2. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
3. [Source](https://www.aaas.org/news/aaas-honors-accomplished-scientists-2018-elected-fellows)
4. Guggenheim Fellows database
5. [Source](https://www.acm.org/media-center/2021/january/fellows-2020)
6. Mathematics Genealogy Project
7. Virtual International Authority File
8. CiNii Research
9. Czech National Authority Database
10. Google Knowledge Graph