Sökning: onr:"swepub:oai:DiVA.org:liu-22969" >
Approximate Databas...
Approximate Databases and Query Techniques for Agents with Heterogenous Perceptual Capabilities
-
- Doherty, Patrick, 1957- (författare)
- Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning
-
- Lukaszewicz, Witold, 1947- (författare)
- Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning
-
- Szalas, Andrzej, 1956- (författare)
- Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning
-
(creator_code:org_t)
- Mountain View, CA : ISIF, 2004
- 2004
- Engelska.
-
Ingår i: Proceedings of the 7th International Conference on Information Fusion. - Mountain View, CA : ISIF. - 917056115X ; , s. 175-182
- Relaterad länk:
-
https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- In this paper, we propose a framework that provides software and robotic agents with the ability to ask approximate questions to each other in the context of heterogeneous and contextually limited perceptual capabilities. The framework focuses on situations where agents have varying ability to perceive their environments. These limitations on perceptual capability are formalized using the idea of tolerance spaces. It is assumed that each agent has one or more approximate databases where approximate relations are represented using intuitions from rough set theory. It is shown how sensory and other limitations can be taken into account when constructing approximate databases for each respective agent. Complex relations inherit the approximativeness inherent in the sensors and primitive relations used in their definitions. Agents then query these databases and receive answers through the filters of their perceptual limitations as represented by tolerance spaces and approximate queries. The techniques used are all tractable.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Computer science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas