Prediction of multi-agent adversarial movements through signature-formations using radon-cumulative distribution transform and canonical correlation analysis

A system for predicting multi-agent movements, the system comprising:

• one or more processor and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform operations of:
• learning a relationship between pairs of signature formations obtained from a dataset using canonical correlation analysis (CCA) components, wherein signature-formations represent agent movements;
• predicting a counter signature-formation for a new dataset using the learned relationship and a new signature-formation;
• and
• adjusting control parameters of a device based on the predicted counter signature-formation.

A computer implemented method for predicting multi-agent movements, the method comprising an act of:

• causing one or more processers to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:
• applying a Radon Cumulative Distribution Transform (Radon-CDT) to pairs of signature-formations obtained from a dataset, wherein signature-formations represent agent movements;
• and
• identifying canonical correlation analysis (CCA) components for the pairs of signature-formations.

A computer implemented method for predicting multi-agent movements, the method comprising an act of:

• causing one or more processers to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:
• learning a relationship between pairs of signature formations obtained from a dataset using canonical correlation analysis (CCA) components, wherein signature-formations represent agent movements;
• predicting a counter signature-formation for a new dataset using the learned relationship and a new signature-formation;
• and
• adjusting control parameters of a device based on the predicted counter signature-formation.

A computer program product for predicting multi-agent movements, the computer program product comprising:

• computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the processor to perform operations of:
• applying a Radon Cumulative Distribution Transform (Radon-CDT) to pairs of signature-formations obtained from a dataset, wherein signature-formations represent agent movements;
• and
• identifying canonical correlation analysis (CCA) components for the pairs of signature-formations.

A computer program product for predicting multi-agent movements, the computer program product comprising:

• computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the processor to perform operations of:
• learning a relationship between pairs of signature formations obtained from a dataset using canonical correlation analysis (CCA) components, wherein signature-formations represent agent movements;
• predicting a counter signature-formation for a new dataset using the learned relationship and a new signature-formation;
• and
• adjusting control parameters of a device based on the predicted counter signature-formation.