This National Science Foundation Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $467,141 to the University of Georgia Research Foundation to investigate decision-making frameworks for open multi-agent systems with various forms of uncertainty. The research aims to develop novel planning and reinforcement learning techniques to enable agents to operate optimally in open contexts where the system composition, tasks, and agent...
This National Science Foundation (NSF) Division of Information and Intelligent Systems Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $299,214 over 4 years to Oberlin College to conduct collaborative research on decision-making methods for open multi-agent systems. The research investigates how autonomous agents can make optimal decisions under various types of uncertainty, including changes to the system composition, tasks,...
This $300,000 National Science Foundation project grant supports research at the University of Nebraska-Lincoln to develop artificial intelligence approaches for sequential collective decision-making to address societal challenges. Funded under the Computer and Information Science and Engineering program, the three-year award beginning September 2023 aims to establish theoretical and algorithmic foundations for responsible and equitable AI that makes fair tradeoffs over time across objectives in...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will provide $398,990.00 to the University of California, Irvine over 3 years starting on August 1, 2025. The project aims to develop a robust theoretical framework for analyzing learning processes in multi-agent systems, such as those found in autonomous driving, economics, and artificial intelligence applications. Key goals include designing...
This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports research to enable trustworthy, complex, learning-enabled autonomy, with a focus on developing new techniques and tools to formally verify the safety and robustness of deep neural networks before their use in safety-critical applications. The $348,576 award to the Board of Regents of the University of Nebraska, effective February 1, 2025 through January 31, 2030, will...
This Project Grant award, provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), will fund research to develop scalable and reliable coordination capabilities for embodied intelligent networks - collections of distributed autonomous agents that can sense, reason, communicate, and act. The $519,577 award to the Regents of the University of Michigan, with a performance period from Sep 1, 2024 to Aug 31, 2029, aims to address challenges in achieving...
This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research by the Texas A&M Engineering Experiment Station (Tees) to develop machine learning models for learning structural frameworks of an agent's dynamic decision-making behavior. The project aims to advance state-of-the-art methodologies for learning structural models of control by considering diverse data types, including...
This Project Grant award of $351,512 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research at Lehigh University focused on capability inference and planning for teams of learning-enabled autonomous agents. The project aims to develop formal frameworks for characterizing agent capabilities, planning methods for assigning complex tasks to agent teams based on spatial and temporal contexts, and mechanisms for detecting and...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $237,999 to support research on developing game-theoretic algorithms for online planning in partially observable domains. The awardee, The Regents of the University of Colorado, doing business as the University of Colorado, will work to design decision-making algorithms based on game theory that enable autonomous agents to interact...
This Project Grant award of $160,673 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to combine algorithms and machine learning to improve decision-making under uncertainty. The project, led by New York University (NYU), will explore incorporating machine-learned predictions into algorithm design as well as developing learning models optimized for specific algorithmic objectives. This work aims to create a...