IBM Scenario Planning Advisor: Plan recognition as AI planning in practice

Issue title: IJCAI-ECAI-18 Demonstration Track

Guest editors: Paul Weng

Article type: Research Article

Authors: Sohrabi, Shirin^a | Katz, Michael^{a; *} | Hassanzadeh, Oktie^a | Udrea, Octavian^a | Feblowitz, Mark D.^a | Riabov, Anton^b

Affiliations: [a] IBM Research, 1101 Kitchaawan Rd, Yorktown Heights, NY 10598, United States. E-mail: [email protected] | [b] Logitech Inc., 7700 Gateway Blvd, Newark, CA 94560, United States

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: We present the IBM Research Scenario Planning Advisor (SPA), a decision support system that allows users to generate diverse alternate scenarios of the future and enhance their ability to imagine the different possible outcomes, including unlikely but potentially impactful futures. Our system, takes as input the relevant information from news and social media, representing key risk drivers, as well as the domain knowledge and generates scenarios that explain the key risk drivers and describe the alternative futures. To this end, we provide a characterization of the problem, knowledge engineering methodology, and transformation to AI planning. Furthermore, we describe the computation of the scenarios, lessons learned, and the feedback received from the pilot deployment of the SPA system in IBM.

Keywords: AI planning, scenario planning, risk management, plan recognition

DOI: 10.3233/AIC-180602

Journal: AI Communications, vol. 32, no. 1, pp. 1-13, 2019