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Narrative based Postdictive Reasoning for Cognitive Robotics
University of Bremen, Bremen, Germany.
University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2013 (English)In: p. 1-8Article in journal (Refereed) Published
Abstract [en]

Making sense of incomplete and conflicting narrative knowledge in the presence of abnormalities, unobservable processes, and other real world considerations is a challenge and crucial requirement for cognitive robotics systems. An added challenge, even when suitably specialised action languages and reasoning systems exist, is practical integration and application within large-scale robot control frameworks.

In the backdrop of an autonomous wheelchair robot control task, we report on application-driven work to realise postdiction triggered abnormality detection and re-planning for real-time robot control: (a) Narrative-based knowledge about the environment is obtained via a larger smart environment framework; and (b) abnormalities are postdicted from stable-models of an answer-set program corresponding to the robot's epistemic model. The overall reasoning is performed in the context of an approximate epistemic action theory based planner implemented via a translation to answer-set programming.

Place, publisher, year, edition, pages
2013. p. 1-8
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64246OAI: oai:DiVA.org:oru-64246DiVA, id: diva2:1174478
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-01-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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