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A representation scheme for description and reconstruction of object configurations based on qualitative relations / by H. Joe Steinhauer.

Steinhauer, H. Joe, 1969- (författare)
Sandewall, Erik, 1945-2024 (preses)
Klippel, Alexander (opponent)
Linköpings universitet. Institutionen för datavetenskap (utgivare)
Alternativt namn: Engelska : Linköping Institute of Technology. Department of Computer and Information Science
Alternativt namn: Engelska : Linköping University. Department of computer and Information Science
Alternativt namn: IDA
Linköpings universitet. Tekniska högskolan (utgivare)
Alternativt namn: Linköpings universitet. Tekniska fakulteten
Alternativt namn: Linköping University. Institute of Technology
Alternativt namn: Linköpings tekniska högskola
Alternativt namn: Tekniska högskolan vid Linköpings universtiet
Alternativt namn: LiTH
Se även: Universitet i Linköping Tekniska högskolan
Publicerad: Linköping : Department of Computer and Information Science, Linköpings universitet, 2008
Engelska 1 onlineresurs (iv, 178 sidor)
Serie: Linköping studies in science and technology. Dissertation, 0345-7524 ; 1204
Läs hela texten (Sammanfattning och fulltext från Linköping University Electronic Press)
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  • E-bokAvhandling(Diss. Linköping : Linköpings universitet, 2008)
Sammanfattning Ämnesord
Stäng  
  • One reason Qualitative Spatial Reasoning (QSR) is becoming increasingly important to Artificial Intelligence (AI) is the need for a smooth ‘human-like’ communication between autonomous agents and people. The selected, yet general, task motivating the work presented here is the scenario of an object configuration that has to be described by an observer on the ground using only relational object positions. The description provided should enable a second agent to create a map-like picture of the described configuration in order to recognize the configuration on a representation from the survey perspective, for instance on a geographic map or in the landscape itself while observing it from an aerial vehicle. Either agent might be an autonomous system or a person. Therefore, the particular focus of this work lies on the necessity to develop description and reconstruction methods that are cognitively easy to apply for a person. This thesis presents the representation scheme QuaDRO (Qualitative Description and Reconstruction of Object configurations). Its main contributions are a specification and qualitative classification of information available from different local viewpoints into nine qualitative equivalence classes. This classification allows the preservation of information needed for reconstruction into a global frame of reference. The reconstruction takes place in an underlying qualitative grid with adjustable granularity. A novel approach for representing objects of eight different orientations by two different frames of reference is used. A substantial contribution to alleviate the reconstruction process is that new objects can be inserted anywhere within the reconstruction without the need for backtracking or rereconstructing. In addition, an approach to reconstruct configurations from underspecified descriptions using conceptual neighbourhood-based reasoning and coarse object relations is presented. 

Ämnesord

Artificiell intelligens  (sao)
Natural Sciences  (ssif)
Computer and Information Sciences  (ssif)
Computer Sciences  (ssif)
Naturvetenskap  (ssif)
Data- och informationsvetenskap (Datateknik)  (ssif)
Datavetenskap (datalogi)  (ssif)
TECHNOLOGY  (svep)
Information technology  (svep)
Computer science  (svep)
TEKNIKVETENSKAP  (svep)
Informationsteknik  (svep)
Datavetenskap  (svep)
Artificial intelligence  (LCSH)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

Qualitative Reasoning
Spatial Reasoning
Cognitive Modeling
Human-Machine Interaction
Coarse Reasoning
Artificial Intelligence
Pud Artificiell intelligens

Klassifikation

006.333 (DDC)
Pud (kssb/8)
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