US 12,456,072 B2
Method and system for automating scenario planning
Octavian Udrea, Valhalla, NY (US); Shirin Sohrabi Araghi, Briarcliff Manor, NY (US); Michael Katz, Goldens Bridge, NY (US); Mark David Feblowitz, Winchester, MA (US); Kavitha Srinivas, Port Chester, NY (US); and Oktie Hassanzadeh, Briarcliff Manor, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 22, 2021, as Appl. No. 17/207,805.
Prior Publication US 2022/0300852 A1, Sep. 22, 2022
Int. Cl. G06F 21/12 (2013.01); G06F 40/20 (2020.01); G06F 40/289 (2020.01); G06N 20/00 (2019.01)
CPC G06N 20/00 (2019.01) [G06F 40/20 (2020.01); G06F 40/289 (2020.01)] 17 Claims
OG exemplary drawing
 
1. A computer system comprising:
a processor operatively coupled to memory;
an artificial intelligence (AI) platform, operatively coupled to the processor, comprising:
a natural language (NL) module configured to interpret a received NL issue requiring decision-making, and to identify a corpus of text related to the interpreted NL issue;
a force module configured to process the identified corpus of text to derive a document set of forces, wherein the set of forces are derived automatically by the force module, wherein deriving the document set of forces includes the force module to automatically derive a set of initial forces, a set of implication forces, a set of selected forces, a set of indicator forces from the identified corpus of text, and a final set of forces based on a ratio of the set of initial forces and the set of final forces being less than a threshold;
a forces causal model (FCM) module configured to leverage the document set of forces and automatically construct a corresponding FCM, wherein the automatically constructed corresponding FCM is configured to mitigate bias in a solution, and the FCM maps a force to a vector that describe properties of a sequence from a first node to a second node in a graph diagram;
a machine learning (ML) module configured to leverage the corresponding FCM to:
construct a general scenario planning (GSP) problem;
translate the GSP problem into a planning problem to obtain a set of plans, wherein each plan of the set of plans includes a valid trajectory through the FCM, wherein the valid trajectory starts at an initial force of the set of initial forces and passes through at least one implication of the set of implications; and
provide the solution to the planning problem, the solution including computing one or more trajectories; and
a visual interface configured to present the solution as the one or more trajectories.