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Authors: Frank Krüger ; Kristina Yordanova ; Albert Hein and Thomas Kirste

Affiliation: University of Rostock, Germany

Keyword(s): Plan Synthesis, Activity Recognition, Probabilistic Reasoning, Causal Models.

Related Ontology Subjects/Areas/Topics: Ambient Intelligence ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bayesian Networks ; Enterprise Information Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Model-Based Reasoning ; Planning and Scheduling ; Simulation and Modeling ; Soft Computing ; Symbolic Systems ; Uncertainty in AI

Abstract: We analyze the applicability of model-based approaches to the task of inferring activities in smart environments. We introduce a symbolic approach to representing human behavior that enables the use of prior knowledge on the causality of human action and outline its probabilistic semantics. Based on an experimental analysis of a real world scenario from the smart meeting room domain, we show that such a symbolic approach allows to build reusable behavior models that compete with data-driven models at the performance level and that are able to track human behavior across a wide range of scenarios.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Krüger, F.; Yordanova, K.; Hein, A. and Kirste, T. (2013). Plan Synthesis for Probabilistic Activity Recognition. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 283-288. DOI: 10.5220/0004256002830288

@conference{icaart13,
author={Frank Krüger. and Kristina Yordanova. and Albert Hein. and Thomas Kirste.},
title={Plan Synthesis for Probabilistic Activity Recognition},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004256002830288},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Plan Synthesis for Probabilistic Activity Recognition
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Krüger, F.
AU - Yordanova, K.
AU - Hein, A.
AU - Kirste, T.
PY - 2013
SP - 283
EP - 288
DO - 10.5220/0004256002830288
PB - SciTePress