3 results about "Set representation" patented technology

Embodiments of the present disclosure relate to devices, methods, apparatuses and computer-readable storage media for ML abstract behavior management. A first device determines a first mapping from a network context to a set of abstract actions, the set of abstract actions representing actual actions of a machine learning entity; sends, to a second device, first information indicative of the first mapping; and receives, from the second device, second information associated with at least a second abstract action, the second abstract action corresponding to an actual action of the machine learning entity given the actual network context. The first device further monitors, based on the second information, a difference between a first abstract action determined based on the first mapping and the second abstract action.

This invention particularly relates to a computer-implemented method for processing 3D signals of shape attributes on a real object. The method includes providing a graph having nodes and arcs. Each node represents a corresponding point in a measured 3D discrete representation of the real object. Each arc connects two nodes representing adjacent points in the discrete representation. The method further includes providing a set of values ​​representing the distribution of shape attributes on the real object. Each value is associated with a corresponding node in the graph and represents the shape attribute at the corresponding point represented by that node. The method further includes modifying the set of values ​​by minimizing an energy defined on a Markov random field formed on the graph.

The invention relates to a code construction method and system for behavior rules, and relates to the technical field of simulation modeling. A rule logic diagram corresponding to the target behavior rule is obtained, the rule logic diagram comprises at least one component, each component is used for achieving at least one function in the target behavior rule, and the components with the logic relation are connected through directed edges; performing conversion processing on the rule logic diagram by utilizing a set conversion tool to obtain an intermediate representation diagram with a set representation form; performing analysis processing on the intermediate representation graph to identify components included in the intermediate representation graph and a logical relationship between the identified components; acquiring a component code of the identified component; and combining the obtained component codes according to the logic relationship between the identified components, and constructing to obtain the code of the target behavior rule. The information loss is reduced, and flexible expansion of different logic representations and different code platforms can be supported by means of the logic intermediate representation graph.