Accounting for observeras partial observability in stochastic goal recognition design

Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

Motivated by security applications, where agent intentions are unknown, actions may have stochastic outcomes, and an observer may have an obfuscated view due to low sensor resolution, we introduce partially-observable states and unobservable actions into a stochastic goal recognition design framework. The proposed model is accompanied by a method for calculating the expected maximal number of steps before the goal of an agent is revealed and a new sensor refinement modification that can be applied to enhance goal recognition. A preliminary empirical evaluation on a range of benchmark applications shows the effectiveness of our approach.

שפה מקוריתאנגלית
כותר פרסום המארחECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
עורכיםGiuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senen Barro, Alberto Bugarin, Jerome Lang
עמודים2394-2401
מספר עמודים8
מסת"ב (אלקטרוני)9781643681009
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 24 אוג׳ 2020
אירוע24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Santiago de Compostela, Online, ספרד
משך הזמן: 29 אוג׳ 20208 ספט׳ 2020

סדרות פרסומים

שםFrontiers in Artificial Intelligence and Applications
כרך325

כנס

כנס24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020
מדינה/אזורספרד
עירSantiago de Compostela, Online
תקופה29/08/208/09/20

ASJC Scopus subject areas

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