{"type":"ScholarlyArticle","title":"IBM Scenario Planning Advisor: Plan Recognition as AI Planning in Practice","authors":[{"name":"Shirin Sohrabi","slug":"shirin-sohrabi","given":"Shirin","family":"Sohrabi","affiliation":"IBM Research , USA"},{"name":"Michael Katz","slug":"michael-katz","given":"Michael","family":"Katz","affiliation":"IBM Research , USA"},{"name":"Oktie Hassanzadeh","slug":"oktie-hassanzadeh","given":"Oktie","family":"Hassanzadeh","affiliation":"IBM Research , USA"},{"name":"Octavian Udrea","slug":"octavian-udrea","given":"Octavian","family":"Udrea","affiliation":"IBM Research , USA"},{"name":"Mark D. Feblowitz","slug":"mark-d-feblowitz","given":"Mark D.","family":"Feblowitz","affiliation":"IBM Research , USA"}],"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. The system includes tooling for experts to intuitively encode their domain knowledge, and uses AI Planning to reason about this knowledge and the current state of the world, including news and social media, when generating scenarios.","doi":"10.24963/ijcai.2018/864","url":"https://ijcai.org/proceedings/2018/864","pdf":"https://ijcai.org/proceedings/2018/0864.pdf","markdown":"https://ijcai.org/proceedings/2018/864.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/864","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Demos","track":"Demos","number":864,"pages":{"first":5865,"last":5867},"keywords":["Planning and Scheduling: Applications of Planning","Planning and Scheduling: Activity and Plan Recognition"],"videos":[],"references":[{"position":1,"raw":"[Avanesov, 2009] Evgeny Avanesov. Risk management in ISO 9000 series standards. In International Conference on Risk Assessment and Management, volume 24, page 25, 2009.","title":"Risk management in ISO 9000 series standards","authors":"Evgeny Avanesov","year":"2009","venue":"International Conference on Risk Assessment and Management","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Defays, 1977] D. Defays. An efficient algorithm for a com- plete link method. Computer Journal, 20(4):364-366, 1977.","title":"An efficient algorithm for a complete link method","authors":"D Defays","year":"1977","venue":"Computer Journal","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Katz et al., 2018] Michael Katz, Shirin Sohrabi, Octavian Udrea, and Dominik Winterer. A novel iterative approach to Top-k planning. In Proceedings of the 28th Interna- tional Conference on Automated Planning and Scheduling, 2018.","title":"A novel iterative approach to Top-k planning","authors":"Michael Katz, Shirin Sohrabi, Octavian Udrea, Dominik Winterer","year":"2018","venue":"Proceedings of the 28th International Conference on Automated Planning and Scheduling","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[McDermott, 1998] Drew V. McDermott. PDDL -The Planning Domain Definition Language. Technical Report TR-98-003/DCS TR-1165, Yale Center for Computational Vision and Control, 1998.","title":"PDDL -The Planning Domain Definition Language","authors":"V Drew, Mcdermott","year":"1998","venue":null,"doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Peterson et al., 2003] Garry D Peterson, Graeme S Cum- ming, and Stephen R Carpenter. Scenario planning: a tool for conservation in an uncertain world. Conservation biol- ogy, 17(2):358-366, 2003.","title":"Scenario planning: a tool for conservation in an uncertain world","authors":"Graeme S Garry D Peterson, Stephen R Cumming, Carpenter","year":"2003","venue":"Conservation biology","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Pommerening and Helmert, 2012] Florian Pommerening and Malte Helmert. Optimal planning for delete-free tasks with incremental LM-Cut. In Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS), 2012.","title":"Optimal planning for delete-free tasks with incremental LM-Cut","authors":"Helmert Pommerening, Florian Pommerening, Malte Helmert","year":"2012","venue":"Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS)","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Ramírez and Geffner, 2009] Miquel Ramírez and Hector Geffner. Plan recognition as planning. In Proceedings of the 21st International Joint Conference on Artificial Intel- ligence (IJCAI), pages 1778-1783, 2009.","title":"Plan recognition as planning","authors":"Geffner Ramírez, Miquel Ramírez, Hector Geffner","year":"2009","venue":"Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI)","doi":null,"url":null,"internal_url":"/proceedings/2009/296"},{"position":8,"raw":"[Ramírez and Geffner, 2010] Miquel Ramírez and Hector Geffner. Probabilistic plan recognition using off-the-shelf classical planners. In Proceedings of the 24th National Conference on Artificial Intelligence (AAAI), pages 1121- 1126, 2010.","title":"Probabilistic plan recognition using off-the-shelf classical planners","authors":"Geffner Ramírez, Miquel Ramírez, Hector Geffner","year":"2010","venue":"Proceedings of the 24th National Conference on Artificial Intelligence (AAAI)","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Riabov et al., 2014] Anton Riabov, Shirin Sohrabi, and Oc- tavian Udrea. New algorithms for the top-k planning prob- lem. In Proceedings of the Scheduling and Planning Appli- cations woRKshop (SPARK) at the 24th International Con- ference on Automated Planning and Scheduling (ICAPS), pages 10-16, 2014.","title":"New algorithms for the top-k planning problem","authors":"Anton Riabov, Shirin Sohrabi, Octavian Udrea","year":"2014","venue":"Proceedings of the Scheduling and Planning Applications woRKshop (SPARK) at the 24th International Conference on Automated Planning and Scheduling (ICAPS)","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Schoemaker, 1995] Paul JH Schoemaker. Scenario plan- ning: a tool for strategic thinking. Sloan management re- view, 36(2):25, 1995.","title":"Scenario planning: a tool for strategic thinking","authors":"J H Paul, Schoemaker","year":"1995","venue":"Sloan management review","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Sohrabi et al., 2016a] Shirin Sohrabi, Anton Riabov, and Octavian Udrea. Plan recognition as planning revisited. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pages 3258-3264, 2016.","title":"Plan recognition as planning revisited","authors":"Sohrabi","year":"2016","venue":"Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI)","doi":null,"url":null,"internal_url":"/proceedings/2016/461"},{"position":12,"raw":"[Sohrabi et al., 2016b] Shirin Sohrabi, Anton Riabov, Octa- vian Udrea, and Oktie Hassanzadeh. Finding diverse high- quality plans for hypothesis generation. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI), pages 1581-1582, 2016.","title":"Finding diverse highquality plans for hypothesis generation","authors":"Sohrabi","year":"2016","venue":"Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI)","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[Sohrabi et al., 2017a] Shirin Sohrabi, Anton Riabov, and Octavian Udrea. State projection via AI planning. In Pro- ceedings of the 31st Conference on Artificial Intelligence (AAAI-17), pages 4611-4617, 2017.","title":"State projection via AI planning","authors":"Sohrabi","year":"2017","venue":"Proceedings of the 31st Conference on Artificial Intelligence (AAAI-17)","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[Sohrabi et al., 2017b] Shirin Sohrabi, Anton Riabov, Octa- vian Udrea, and Fang Yuan. Using lightweight semantic models to assist risk management in a large enterprise. In Proceedings of the 16th International Semantic Web Con- ference -Industry Track (ISWC-17), 2017.","title":"Using lightweight semantic models to assist risk management in a large enterprise","authors":"Sohrabi","year":"2017","venue":"Proceedings of the 16th International Semantic Web Conference -Industry Track (ISWC-17)","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"[Sohrabi et al., 2018] Shirin Sohrabi, Anton V. Riabov, Michael Katz, and Octavian Udrea. An AI planning so- lution to scenario generation for enterprise risk manage- ment. In Proceedings of the 32nd National Conference on Artificial Intelligence (AAAI), pages 160-167, 2018.","title":"An AI planning solution to scenario generation for enterprise risk management","authors":"Shirin Sohrabi, Anton V Riabov, Michael Katz, Octavian Udrea","year":"2018","venue":"Proceedings of the 32nd National Conference on Artificial Intelligence (AAAI)","doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Stulz, 1996] René M Stulz. Rethinking risk management. Journal of applied corporate finance, 9(3):8-25, 1996.","title":"Rethinking risk management","authors":"; Stulz, M René, Stulz","year":"1996","venue":"Journal of applied corporate finance","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}