Title :
Completion of qualitative spatio-temporal explanations using context
Author :
Binong, J. ; Hazarika, S.M.
Author_Institution :
Biomimetic & Cognitive Robot. Lab., Tezpur Univ., Sonitpur, India
Abstract :
Occlusion of objects during spatio-temporal phenomena such as navigation is common for intelligent autonomous systems in a domain with real world objects. Enabling to fill gaps in observation as human do, can enhance the cognition and adaptability of autonomous system multifold. Most cognitive process are contextual. The essence of context in our everyday commonsense reasoning cannot be ignored. Further, everyday spatial and temporal reasoning is qualitative rather than quantitative. Building on work done in the area of qualitative spatial and temporal reasoning, we present an approach for completion of qualitative spatio-temporal explanations using context.
Keywords :
inference mechanisms; ontologies (artificial intelligence); autonomous system adaptability; autonomous system cognition; intelligent autonomous system; object occlusion; qualitative spatio-temporal explanation; spatial reasoning; temporal reasoning; Cognition; Computer architecture; Context; Joining processes; Knowledge based systems; OWL; Ontologies; context; ontology; qualitative spatio-temporal reasoning;
Conference_Titel :
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4673-4527-9
DOI :
10.1109/IAdCC.2013.6514467