The present invention is a method of performing Reflexive Game Theory (RGT) inference comprising: pre-computing of possible group structure and real-time selecting (template matching) of the group templates by using the input information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of performing Reflexive Game Theory (RGT) inference comprising: pre-computing of possible group structure and real-time selecting (template matching) of the group templates by using the input information. 2. A method according to claim 1, wherein the pre-computing process pre-computes the templates for template matching-based Reflexive Game Theory (RGT) inference based on using templates of the groups, and the templates are obtained by generalization of the possible group structures. 3. A method according to claim 2, wherein the combinatorial techniques are applied to obtain pre-computed templates, and the combinatorial technique are applied to obtain all possible different group types. 4. A method of processing the actual input data for RGT inference by using pre-computed templates comprising: identifying a certain template corresponding to the input data by unique structure features; and identifying location of each subject by means of position feature. 5. The method according to claim 4, wherein algebraic features are computed for identification of a corresponding group template. 6. The method according to claim 4, wherein algebraic features are computed for identification of a location of each subject in a group. 7. A system of performing Reflexive Game Theory (RGT) inference comprising: pre-computing module that pre-computes possible group structure, and real-time selecting module that real-time selects (template matching) the group templates by using the input information. 8. A system according to claim 7, wherein the pre-computing module pre-computes the templates for template matching-based Reflexive Game Theory (RGT) inference based on using templates of the groups, and the templates are obtained by generalization of the possible group structures. 9. A system according to claim 8, wherein the combinatorial techniques are applied to obtain pre-computed templates, and the combinatorial technique are applied to obtain all possible different group types. 10. A system of processing the actual input data for RGT inference by using pre-computed templates comprising: module that identifies a certain template corresponding to the input data by unique structure features; and module that identifies location of each subject by means of position feature. 11. A system according to claim 10, wherein the module computes algebraic features for identification of a corresponding group template. 12. The system according to claim 10, wherein the module computes algebraic features for identification of a location of each subject in a group.