This inventor holds 1 USPTO granted patent. Top assignee: Palo Alto Research Center Inc.. Active years: 2013.
Company Filing History:
Years Active: 2013
Title: J Daniel Benton: Innovator in AI Planning Technologies
Introduction
J Daniel Benton is a notable inventor based in Tempe, AZ (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of probabilistic planning. His innovative approach combines advanced computational methods with practical applications, showcasing his expertise and creativity.
Latest Patents
J Daniel Benton holds a patent for an "AI planning based quasi-Monte Carlo simulation method for probabilistic planning." This computer-based method and system provide a framework for generating a set of possible actions for an initial state. The process includes generating sample future outcomes and solutions for each outcome using an AI planner. The method emphasizes the importance of analyzing aggregated future outcome solutions to select the best action, which is then outputted to computer memory. This patent highlights his commitment to advancing AI technologies.
Career Highlights
Benton is associated with Palo Alto Research Center Inc., where he continues to develop innovative solutions in AI and simulation methods. His work has positioned him as a key figure in the research community, contributing to the evolution of AI planning technologies.
Collaborations
Some of his notable coworkers include Sungwook Yoon and Wheeler Ruml. Their collaborative efforts have further enhanced the research and development of AI planning methodologies.
Conclusion
J Daniel Benton is a pioneering inventor whose work in AI planning and simulation methods has made a significant impact in the field. His innovative patent reflects his dedication to advancing technology and improving probabilistic planning processes.