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US 11,454,939 B2Granted
Entropy-based techniques for creation of well-balanced computer based reasoning systems
AssigneeDiveplane Corporation
InventorChristopher James Hazard
Life of this patent
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Abstract
Techniques are provided herein for creating well-balanced computer-based reasoning systems and using those to control systems. The techniques include receiving a request to determine whether to include one or more particular data elements in a computer-based reasoning model and determining two probability density or mass functions (“PDMFs”), one for the data set including the one or more particular data elements, once for the data set excluding it. Surprisal is determined based on those two PDMFs, and inclusion in the computer-based reasoning model is determined based on surprisal. A system is later controlled using the computer-based reasoning model.
Claims20
A method comprising:
- receiving, at a training and analysis system, a request to determine whether to include one or more particular data elements in a computer-based reasoning model, wherein the training and analysis system executes on one or more computing devices, and is configured to execute training and analysis instructions;
- determining, at the training and analysis system, a first Probability Density or Mass Function (PDMF) for a set of data elements that does not include the one or more particular data elements, wherein the set of data elements is associated with the computer-based reasoning model;
- determining, at the training and analysis system, a second PDMF for the set of data elements combined with the one or more particular data elements;
- determining, at the training and analysis system, surprisal of the one or more particular data elements based on a ratio of the first PDMF and the second PDMF;
- in response to determining that the surprisal of the one or more particular data elements is out of bounds of one or more predetermined thresholds, including the one or more particular data elements in the computer-based reasoning model;
- in response to determining that the surprisal of the one or more particular data elements is not out of bounds of the one or more predetermined thresholds, excluding the one or more particular data elements from the computer-based reasoning model;
- causing, with a control system, control of a system with the computer-based reasoning model,
- wherein the method is performed on one or more computing devices.
5 more elements
A system for creating a computer-based reasoning model, comprising:
- a training and analysis system executing on one or more computing devices, and configured to execute training and analysis instructions, which, when executed, perform the steps of:
- receiving a request to determine whether to include one or more particular data elements in a computer-based reasoning model;
- determining a first Probability Density or Mass Function (PDMF) for a set of data elements that does not include the one or more particular data elements, wherein the set of data elements is associated with the computer-based reasoning model;
- determining a second PDMF for the set of data elements combined with the one or more particular data elements;
- determining surprisal of the one or more particular data elements based on a ratio of the first PDMF and the second PDMF;
- in response to determining that the surprisal of the one or more particular data elements is out of bounds of one or more predetermined thresholds, including the one or more particular data elements in the computer-based reasoning model;
- in response to determining that the surprisal of the one or more particular data elements is not out of bounds of the one or more predetermined thresholds, excluding the one or more particular data elements from the computer-based reasoning model;
- sending the computer-based reasoning model to a control system;
- a control system executing on the one or more computing devices, configured to communicate with the training and analysis system and to execute control system instructions, which, when executed, perform the steps of:
- receiving the computer-based reasoning model from the training and analysis system;
- receiving a current context for a target system, wherein the target system can be controlled by the control system;
- determining an action to take for the target system based on the current context for the target system and the computer-based reasoning model;
- causing the target system to perform the determined action.
10 more elements
A system for creating a computer-based reasoning model for controlling vehicles, comprising:
- a vehicle training and analysis system executing on one or more computing devices, and configured to execute training and analysis instructions, which, when executed, perform the steps of:
- receiving a request to determine whether to include one or more particular vehicular data elements in a vehicular computer-based reasoning model;
- determining a first Probability Density or Mass Function (PDMF) for a set of vehicular data elements that does not include the one or more particular vehicular data elements, wherein the set of vehicular data elements is associated with the vehicular computer-based reasoning model;
- determining a second PDMF for the set of vehicular data elements combined with the one or more particular vehicular data elements,
- determining surprisal of the one or more particular vehicular data elements based on a ratio of the first PDMF and the second PDMF;
- in response to determining that the surprisal of the one or more particular vehicular data elements is out of bounds of one or more predetermined thresholds, including the one or more particular vehicular data elements in the computer-based reasoning model;
- in response to determining that the surprisal of the one or more particular vehicular data elements is not out of bounds of the one or more predetermined thresholds, excluding the one or more particular vehicular data elements from the vehicular computer-based reasoning model;
- sending the vehicular computer-based reasoning model to a control system;
- a control system executing on the one or more computing devices, configured to communicate with the vehicle training and analysis system and to execute control system instructions, which, when executed, perform the steps of:
- receiving the vehicular computer-based reasoning model from the vehicle training and analysis system;
- receiving a current context for a vehicle, control of which can be performed by the control system;
- determining an action to take for the vehicle based on the current context for the vehicle and the vehicular computer-based reasoning model;
- causing the vehicle to perform the determined action.
10 more elements
Dependencies are inferred from the claim text.