公开(公告)号：US20220405487A1

公开(公告)日：2022-12-22

申请号：US17354171

申请日：2021-06-22

申请人： International Business Machines Corporation

发明人： Manik Bhandari ,  Oktie Hassanzadeh ,  Mark David Feblowitz ,  Kavitha Srinivas ,  Shirin Sohrabi Araghi

IPC分类号： G06F40/40 ,  G06N20/00 ,  G06N5/04

摘要： A computer-implemented method is provided that includes accessing candidate text and a candidate pair including first and second phrases, substituting the first and second phrases into cause-effect patterns to generate variant sentences. An artificial intelligence model is leveraged to determine respective probabilities that the variant sentences are inferred from the candidate text, calculate a statistical measure of the respective probabilities, and assess the calculated statistical measure to ascertain whether the first and second phrases possess a causal relationship or non-causal relationship to one another. A knowledge base including one or more pairs of cause-effect phrase pairs is populated with the first and second phrases possessing the causal relationship. A computer system and a computer program product are also provided.

公开(公告)号：US20220300852A1

公开(公告)日：2022-09-22

申请号：US17207805

申请日：2021-03-22

申请人： International Business Machines Corporation

发明人： Octavian Udrea ,  Shirin Sohrabi Araghi ,  Michael Katz ,  Mark David Feblowitz ,  Kavitha Srinivas ,  Oktie Hassanzadeh

IPC分类号： G06N20/00 ,  G06F40/289

摘要： Embodiments are provided that relate to a computer system, a computer program product, and a computer-implemented method for automating scenario planning. Embodiments involve machine learning (ML) and an artificial intelligence (AI) planner to capture a general scenario planning (GSP) problem and provide a solution to the GSP problem in the form of trajectories.

公开(公告)号：US11922129B2

公开(公告)日：2024-03-05

申请号：US17354171

申请日：2021-06-22

申请人： International Business Machines Corporation

发明人： Manik Bhandari ,  Oktie Hassanzadeh ,  Mark David Feblowitz ,  Kavitha Srinivas ,  Shirin Sohrabi Araghi

IPC分类号： G06F7/00 ,  G06F40/40 ,  G06N5/04 ,  G06N20/00

CPC分类号： G06F40/40 ,  G06N5/04 ,  G06N20/00

摘要： A computer-implemented method is provided that includes accessing candidate text and a candidate pair including first and second phrases, substituting the first and second phrases into cause-effect patterns to generate variant sentences. An artificial intelligence model is leveraged to determine respective probabilities that the variant sentences are inferred from the candidate text, calculate a statistical measure of the respective probabilities, and assess the calculated statistical measure to ascertain whether the first and second phrases possess a causal relationship or non-causal relationship to one another. A knowledge base including one or more pairs of cause-effect phrase pairs is populated with the first and second phrases possessing the causal relationship. A computer system and a computer program product are also provided.