Invention Grant
- Patent Title: Predicting activity consequences based on cognitive modeling
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Application No.: US16008890Application Date: 2018-06-14
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Publication No.: US11042808B2Publication Date: 2021-06-22
- Inventor: James E. Bostick , Danny Yen-Fu Chen , Sarbajit K. Rakshit , Keith R. Walker
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Yee & Associates, P.C.
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F40/40 ; H04L12/40

Abstract:
Predicting probable activity consequences is provided. Information is collected from data sources to identify various activities. Patterns of how any identified activity is linked with a corresponding event are detected based on analyzing the information. The patterns are indexed with data having a relationship to a particular event. Activity context information associated with a set of identified activities corresponding to the particular event is extracted from the information. A cognitive model of how the set of identified activities corresponding to the particular event are related to a set of activity consequences is generated. Probable activity consequences with degree of severity corresponding to the activity context information is predicted based on the cognitive model. A recommendation to perform a set of action steps to reduce impact of the probable activity consequences on different aspects of the activity context information associated with the set of identified activities is generated.
Public/Granted literature
- US20190385074A1 Predicting Activity Consequences Based on Cognitive Modeling Public/Granted day:2019-12-19
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