Abstract
With the spreading of intelligent machines, man-machine communication has become an important research area. Today, intelligent robots co-operating with humans usually have to be able to store, retrieve, and update information about their environment, interpret and execute commands, offer existing and gain/learn new services. In these processes, the efficient knowledge representation and storage are of key importance. In this paper, a new graph based modular knowledge storage and representation form is presented which is able to handle inaccurate and ambiguous information, to store, retrieve, modify, and extend theoretical and practical knowledge, to interpret commands, and to learn new cognitions.KeywordsKnowledge RepresentationAction NodeIntelligent RobotFuzzy Membership FunctionObject NodeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
