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
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;
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
DOI :
10.1109/SAMI.2014.6822388
