Argumentation-based scene interpretation using defeasible logic programming

Cagatay Koc; Sanem Sariel

doi:10.1109/ICAR.2015.7251525

Argumentation-based scene interpretation using defeasible logic programming

Cagatay Koc
, Sanem Sariel

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

In an agent system that needs to operate in a real world, the problem of maintaining a consistent world model in the face of unreliable, incomplete and inconsistent sensory data should be solved. In this paper, we present an approach that addresses this problem by applying an argumentation-based scene interpretation framework for accurately modelling and representing the observations and beliefs of an agent. Our approach is based on temporal and probabilistic defeasible logic programming for reasoning. The performance of our approach is evaluated on simulation experiments in the Stage Robot Simulator. We also show that our approach is applicable to real world scenarios with an autonomous Pioneer 3-AT robot.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015
Editörler	Uluc Saranli, Sinan Kalkan
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	649-654
Sayfa sayısı	6
ISBN (Elektronik)	9781467375092
DOI'lar	https://doi.org/10.1109/ICAR.2015.7251525
Yayın durumu	Yayınlandı - 13 Eki 2015
Etkinlik	17th International Conference on Advanced Robotics, ICAR 2015 - Istanbul, Turkey Süre: 27 Tem 2015 → 31 Tem 2015

Yayın serisi

Adı	Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	17th International Conference on Advanced Robotics, ICAR 2015
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	27/07/15 → 31/07/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/ICAR.2015.7251525

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Koc, C., & Sariel, S. (2015). Argumentation-based scene interpretation using defeasible logic programming. In U. Saranli, & S. Kalkan (Eds.), Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015 (pp. 649-654). Makale 7251525 (Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAR.2015.7251525

Koc, Cagatay ; Sariel, Sanem. / Argumentation-based scene interpretation using defeasible logic programming. Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015. editör / Uluc Saranli ; Sinan Kalkan. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 649-654 (Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015).

@inproceedings{9b599a828add4eb0a693a3c2fdafc3bb,

title = "Argumentation-based scene interpretation using defeasible logic programming",

abstract = "In an agent system that needs to operate in a real world, the problem of maintaining a consistent world model in the face of unreliable, incomplete and inconsistent sensory data should be solved. In this paper, we present an approach that addresses this problem by applying an argumentation-based scene interpretation framework for accurately modelling and representing the observations and beliefs of an agent. Our approach is based on temporal and probabilistic defeasible logic programming for reasoning. The performance of our approach is evaluated on simulation experiments in the Stage Robot Simulator. We also show that our approach is applicable to real world scenarios with an autonomous Pioneer 3-AT robot.",

author = "Cagatay Koc and Sanem Sariel",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th International Conference on Advanced Robotics, ICAR 2015 ; Conference date: 27-07-2015 Through 31-07-2015",

year = "2015",

month = oct,

day = "13",

doi = "10.1109/ICAR.2015.7251525",

language = "English",

series = "Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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editor = "Uluc Saranli and Sinan Kalkan",

booktitle = "Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015",

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Koc, C & Sariel, S 2015, Argumentation-based scene interpretation using defeasible logic programming. in U Saranli & S Kalkan (eds), Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015., 7251525, Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015, Institute of Electrical and Electronics Engineers Inc., pp. 649-654, 17th International Conference on Advanced Robotics, ICAR 2015, Istanbul, Turkey, 27/07/15. https://doi.org/10.1109/ICAR.2015.7251525

Argumentation-based scene interpretation using defeasible logic programming. / Koc, Cagatay; Sariel, Sanem.
Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015. ed. / Uluc Saranli; Sinan Kalkan. Institute of Electrical and Electronics Engineers Inc., 2015. p. 649-654 7251525 (Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AU - Sariel, Sanem

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Y1 - 2015/10/13

N2 - In an agent system that needs to operate in a real world, the problem of maintaining a consistent world model in the face of unreliable, incomplete and inconsistent sensory data should be solved. In this paper, we present an approach that addresses this problem by applying an argumentation-based scene interpretation framework for accurately modelling and representing the observations and beliefs of an agent. Our approach is based on temporal and probabilistic defeasible logic programming for reasoning. The performance of our approach is evaluated on simulation experiments in the Stage Robot Simulator. We also show that our approach is applicable to real world scenarios with an autonomous Pioneer 3-AT robot.

AB - In an agent system that needs to operate in a real world, the problem of maintaining a consistent world model in the face of unreliable, incomplete and inconsistent sensory data should be solved. In this paper, we present an approach that addresses this problem by applying an argumentation-based scene interpretation framework for accurately modelling and representing the observations and beliefs of an agent. Our approach is based on temporal and probabilistic defeasible logic programming for reasoning. The performance of our approach is evaluated on simulation experiments in the Stage Robot Simulator. We also show that our approach is applicable to real world scenarios with an autonomous Pioneer 3-AT robot.

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U2 - 10.1109/ICAR.2015.7251525

DO - 10.1109/ICAR.2015.7251525

M3 - Conference contribution

AN - SCOPUS:84957690027

T3 - Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015

SP - 649

EP - 654

BT - Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015

A2 - Saranli, Uluc

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PB - Institute of Electrical and Electronics Engineers Inc.

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Koc C, Sariel S. Argumentation-based scene interpretation using defeasible logic programming. In Saranli U, Kalkan S, editörler, Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 649-654. 7251525. (Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015). doi: 10.1109/ICAR.2015.7251525

Argumentation-based scene interpretation using defeasible logic programming

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Diğer Dosyalar ve Linkler

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