Learning Device With Continuous Configuration Capability

A computing device, comprising:

• a processor configured with processor-executable instructions for performing operations comprising:
• storing events obtained while in a monitoring mode;
• activating a first triggered mode for a first reflex associated with a predetermined action when at least one of the stored events corresponds to a first trigger pattern associated with the first reflex;
• determining whether the first reflex has a trigger weight exceeding a trigger weight threshold;
• conducting the predetermined action associated with the first reflex in response to determining that the trigger weight associated with the first reflex exceeds the trigger weight threshold;
• obtaining at least one additional event while in the first triggered mode;
• adjusting the trigger weight of the first reflex when the at least one additional event corresponds to at least one of a first correction pattern and a first reward pattern associated with the first reflex and occurring in response to conducting the predetermined action;
• and
• creating a second reflex with a second trigger pattern, a second correction pattern, and a second reward pattern when the at least one additional event does not correspond to at least one of the first trigger pattern, the first correction pattern, and the first reward pattern associated with the first reflex.

A non-transitory processor-readable storage medium having stored thereon processor-executable instructions configured to cause a processor of a computing device to perform operations comprising:

• storing events obtained while in a monitoring mode;
• activating a first triggered mode for a first reflex associated with a predetermined action when at least one of the stored events corresponds to a first trigger pattern associated with the first reflex;
• determining whether the first reflex has a trigger weight exceeding a trigger weight threshold;
• conducting the predetermined action associated with the first reflex in response to determining that the trigger weight associated with the first reflex exceeds the trigger weight threshold;
• obtaining at least one additional event while in the first triggered mode;
• adjusting the trigger weight of the first reflex when the at least one additional event corresponds to at least one of a first correction pattern and a first reward pattern associated with the first reflex and occurring in response to conducting the predetermined action;
• and
• creating a second reflex with a second trigger pattern, a second correction pattern, and a second reward pattern when the at least one additional event does not correspond to at least one of the first trigger pattern, the first correction pattern, and the first reward pattern associated with the first reflex.

A system, comprising:

• a first learning device within a plurality of learning devices, comprising:
• a first processor;
• and
• a first memory coupled to the first processor,
• wherein the first processor is configured with processor-executable instructions for performing operations comprising:
• storing, in the first memory, events obtained while in a monitoring mode;
• activating a first triggered mode for a first reflex associated with a predetermined action when at least one of the stored events corresponds to a first trigger pattern associated with the first reflex;
• determining whether the first reflex has a trigger weight exceeding a trigger weight threshold;
• conducting the predetermined action associated with the first reflex in response to determining that the trigger weight associated with the first reflex exceeds the trigger weight threshold;
• obtaining at least one additional event while in the first triggered mode;
• adjusting the trigger weight of the first reflex when the at least one additional event corresponds to at least one of a first correction pattern and a first reward pattern associated with the first reflex and occurring in response to conducting the predetermined action;
• and
• creating a second reflex with a second trigger pattern, a second correction pattern, and a second reward pattern when the at least one additional event does not correspond to at least one of the first trigger pattern, the first correction pattern, and the first reward pattern associated with the first reflex;
• and
• a second learning device within the plurality of learning devices, comprising:
• a second processor;
• and
• a second signal transmitter coupled to the second processor, and wherein the second processor is configured with processor-executable instructions for performing operations comprising transmitting, via the second signal transmitter, a first event report message, and wherein the first learning device further comprises:
• a first signal receiver coupled to the first processor, and
• wherein the first processor is configured with processor-executable instructions for performing operations further comprising receiving, via the first signal receiver, the first event report message transmitted by the second learning device.

A method for decentralized training of learning devices, comprising:

• receiving one or more events at a first learning device, the first learning device having one or more associated reflexes, each reflex having at least one associated trigger pattern and at least one associated action;
• determining whether the received one or more events match a first trigger pattern associated with a first reflex associated with the first learning device;
• conducting a first action associated with the first reflex in response to determining that the received one or more events match the first trigger pattern;
• and
• creating a second reflex associated with the first learning device with a second trigger pattern and a second action in response to determining that the received one or more events do not match any pattern associated with the first learning device.