DocumentCode
145705
Title
Fuzzy Rule Interpolation-based behavior modeling for human-robot interaction
Author
Kovacs, Szilveszter
Author_Institution
Dept. of Inf. Technol., Univ. of Miskolc, Miskolc, Hungary
fYear
2014
fDate
23-25 Jan. 2014
Firstpage
115
Lastpage
115
Abstract
Summary form only given. Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. The goal of this presentation is to give a short introduction to the way as an FRI based state machine can be constructed from the guide-lines of an Ethological model for acting as an embedded behavior model in Human-Robot Interaction.
Keywords
behavioural sciences computing; finite state machines; fuzzy set theory; human-robot interaction; interpolation; knowledge representation; FRI based state machine; FRI methods; embedded behavior model; ethological model; fuzzy rule interpolation-based behavior modeling; human-robot interaction; knowledge representation; Abstracts; Educational institutions; Human-robot interaction; Informatics; Information technology; Interpolation; Machine intelligence; ethologically inspired behavior modeling; fuzzy rule interpolation (FRI); fuzzy state machine; humanrobot interaction;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location
Herl´any
Print_ISBN
978-1-4799-3441-6
Type
conf
DOI
10.1109/SAMI.2014.6822388
Filename
6822388
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