{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-8521668","patent":{"patent_number":"US-8521668","title":"Model for reconstructing a causation process from time varying data describing an event and for predicting the evolution dynamics of the event","assignee":null,"inventors":[],"filing_date":"2011-03-24T00:00:00.000Z","publication_date":"2013-08-27T00:00:00.000Z","cpc_codes":["G06N","G06F"],"num_claims":15,"abstract":"A method of reconstructing a causation process from time varying data describing an event, the data consisting in a certain number of entities each having a position in a space, and each of the entities being characterized by at least a quantity or value relatively to at least one feature and in the quantity or value relatively to at least one of the features of the entities at least at two different times or at each time instant of a sequence of time instants;    The invention relates also to a method of predicting the evolution dynamics of an event or process starting from the information about the causation process obtained from the above function."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Model for reconstructing a causation process from time varying data describing an event and for predicting the evolution dynamics of the event","description":"A method of reconstructing a causation process from time varying data describing an event, the data consisting in a certain number of entities each having a position in a space, and each of the entiti","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-8521668","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-8521668","citation_suggestion":"Patentable. \"Model for reconstructing a causation process from time varying data describing an event and for predicting the evolution dynamics of the event\" (US-8521668). https://patentable.app/patents/US-8521668","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-8521668","json":"https://patentable.app/api/llm-context/US-8521668","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:17:26.883Z"}