Argumentation-based scene interpretation using defeasible logic programming

Cagatay Koc, Sanem Sariel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Advanced Robotics, ICAR 2015
EditorsUluc Saranli, Sinan Kalkan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages649-654
Number of pages6
ISBN (Electronic)9781467375092
DOIs
Publication statusPublished - 13 Oct 2015
Event17th International Conference on Advanced Robotics, ICAR 2015 - Istanbul, Turkey
Duration: 27 Jul 201531 Jul 2015

Publication series

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

Conference

Conference17th International Conference on Advanced Robotics, ICAR 2015
Country/TerritoryTurkey
CityIstanbul
Period27/07/1531/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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