<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ferrein, Alexander</style></author><author><style face="normal" font="default" size="100%">Schiffer, Stefan</style></author><author><style face="normal" font="default" size="100%">Lakemeyer, Gerhard</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Embedding Fuzzy Controllers into Golog</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'09)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Controller</style></keyword><keyword><style  face="normal" font="default" size="100%">Fuzzy</style></keyword><keyword><style  face="normal" font="default" size="100%">Golog</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August 20-24</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://www-kbsg.informatik.rwth-aachen.de/sites/kbsg/files/fuzz-ieee2009pole.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">ICC Jeju, Jeju Island, Korea</style></pub-location><pages><style face="normal" font="default" size="100%">894--899</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">High-level behaviour specification of an intelligent autonomous agent or robot is a non-trivial task. Various approaches exist some of which try to combine different paradigms like programming and planning. In this paper, we show how to integrate fuzzy logic controllers into the logic-based programming language Golog. Golog already allows for combining programming and planning. By adding the instrument of fuzzy controllers we provide the means to have a natural specification of rules for tasks that require a high amount of reactivity. Since the facilities already present in Golog remain, we add to an already powerful framework thus expanding the applicability of Golog for high-level behaviour specification of a robot or agent.</style></abstract><work-type><style face="normal" font="default" size="100%">inproceedings</style></work-type></record></records></xml>