Learning Agent
A digital computational learning system and corresponding method plan a series of actions to accomplish tasks. The system learns, automatically, a plurality of actor perceiver predictors (APP) nodes. Each APP node is associated with a context, action, and result. The result is expected to be achieve...
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| creator | Shaoul, Cyrus Minsky, Milan Singh Minsky, Henry Bowdoin |
| description | A digital computational learning system and corresponding method plan a series of actions to accomplish tasks. The system learns, automatically, a plurality of actor perceiver predictors (APP) nodes. Each APP node is associated with a context, action, and result. The result is expected to be achieved in response to the action being taken as a function of the context having been satisfied. Each APP node is associated with an action-controller that includes an instance of a planner that includes allied planners. The action-controller is associated with a goal state and employs the allied planners to determine a sequence of actions for reaching the goal state. The allied planners enable the system to plan a series of actions to accomplish complex tasks in a manner that is more robust and resilient relative to current state of the art artificial intelligence based learning systems and methods. |
| format | Patent |
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The allied planners enable the system to plan a series of actions to accomplish complex tasks in a manner that is more robust and resilient relative to current state of the art artificial intelligence based learning systems and methods.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211028&DB=EPODOC&CC=US&NR=2021334671A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211028&DB=EPODOC&CC=US&NR=2021334671A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shaoul, Cyrus</creatorcontrib><creatorcontrib>Minsky, Milan Singh</creatorcontrib><creatorcontrib>Minsky, Henry Bowdoin</creatorcontrib><title>Learning Agent</title><description>A digital computational learning system and corresponding method plan a series of actions to accomplish tasks. 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| language | eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Learning Agent |
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