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公开(公告)号:US20240265266A1
公开(公告)日:2024-08-08
申请号:US18434435
申请日:2024-02-06
Applicant: SRI International
Inventor: Theodore Camus , Zachary Seymour , Bhoram Lee , Andrew C. Silberfarb , Supun Samarasekera , Jonathan Brookshire
Abstract: In general, techniques are described for coordinating actions of a plurality of agents or subsystems using a machine learning system that implements a Capability Graph Network (CGN). In an example, a method includes generating a control policy model comprising a plurality of nodes and a plurality of edges interconnecting the plurality of nodes, wherein the plurality of nodes represents a plurality of agents or subsystems and the plurality of edges represent information exchange between the plurality of agents or subsystems; and encoding agent behavior control policy within the control policy model for executing to coordinate a plurality of the actions of the plurality of agents or subsystems.