Paper Info
Title
Representing Knowledge in Robotic Systems with KnowLang.
Abstract
Building intelligent robotic systems is both stirring and extremely challenging. Researchers have realized that robot intelligence can be achieved with a logical approach, but still AT struggles to connect that abstract logic with real-world meanings. This paper presents KnowLang, a new formal language for knowledge representation in a special class of intelligent robotic systems termed ASCENS. Autonomic Service-Component Ensembles (ASCENS) are multi-agent systems formed as mobile, intelligent and open-ended swarms of special autonomic service components capable of local and distributed reasoning. Such components encapsulate rules, constraints and mechanisms for self-adaptation and acquire and process knowledge about themselves, other service components and their environment. In this paper,a brief KnowLang case study of knowledge representation for a robotic system is presented.
Year
DOI
Venue
2011
10.1007/978-3-642-34781-8_7
Communications in Computer and Information Science
Keywords
Field
DocType
knowledge representation,intelligent robotic systems,formal approach,robot ontology,ASCENS
Cognitive robotics,Robotic systems,Logical approach,Knowledge representation and reasoning,Abstract logic,Formal language,Distributed reasoning,Computer science,Artificial intelligence
Conference
Volume
ISSN
Citations 
336
1865-0929
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Emil Vassev126341.81
Mike Hinchey249451.89