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Shlomo Zilberstein : ウィキペディア英語版 | Shlomo Zilberstein
Shlomo Zilberstein (Hebrew: שלמה זילברשטיין; born 1960) is an Israeli-American computer scientist. He is a Professor of Computer Science and Associate Dean for Research and Engagement in the College of Information and Computer Sciences at the University of Massachusetts, Amherst.〔(UMass Amherst CS faculty list )〕 He graduated with a B.A. in Computer Science summa cum laude from Technion – Israel Institute of Technology in 1982, and a Ph.D. in Computer Science from University of California at Berkeley in 1993, advised by Stuart J. Russell.〔(Dr. Zilberstein's Ph.D. thesis )〕〔(His doctoral advisor and thesis as part of his academic genealogy )〕 He is known for his contributions to artificial intelligence, anytime algorithms, multi-agent systems, and automated planning and scheduling algorithms, notably within the context of Markov decision processes (MDPs), Partially Observable MDPs (POMDPs), and Decentralized POMDPs (Dec-POMDPs). ==Research== His research is in the area of artificial intelligence, specifically automated planning, in addition to decision theory, reasoning under uncertainty, heuristic search, automated coordination and communication, and reinforcement learning.〔(Professional website description )〕 He directs the Resource-Bounded Reasoning Laboratory〔(Resource-Bounded Reasoning Laboratory website )〕 at the University of Massachusetts, Amherst.〔(UMass Amherst research groups )〕 In 2002, Daniel S. Bernstein, Robert Givan, Neil Immerman, and Shlomo Zilberstein introduced the Decentralized POMDP which extends the widely-used single-agent POMDP model to a multi-agent scenario (Dec-POMDP).〔(Dr. Zilberstein's NSF Grant in 2002 in which the Dec-POMDP model was developed )〕 He has also developed AI algorithms for semi-autonomous systems with potential applications to semi-autonomous cars.〔(Dr. Zilberstein's NSF Grant in 2014 for Semi-Autonomous Systems (SAS) with direct applications to semi-autonomous driving )〕〔(Popular Mechanics news article on semi-autonomous systems )〕〔(NSF news article on semi-autonomous systems )〕〔(Phys.org news article on semi-autonomous systems )〕
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