<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brandi, Santiago</style></author><author><style face="normal" font="default" size="100%">Herreros, Ivan</style></author><author><style face="normal" font="default" size="100%">Verschure, Paul F.M.J.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Duff, Armin</style></author><author><style face="normal" font="default" size="100%">Lepora, NathanF.</style></author><author><style face="normal" font="default" size="100%">Mura, Anna</style></author><author><style face="normal" font="default" size="100%">Prescott, TonyJ.</style></author><author><style face="normal" font="default" size="100%">Verschure, PaulF.M.J.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of the Anticipatory Reflexes of a Computational Model of the Cerebellum</style></title><secondary-title><style face="normal" font="default" size="100%">Biomimetic and Biohybrid Systems, Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014. Proceedings</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">adaptive reflexes</style></keyword><keyword><style  face="normal" font="default" size="100%">cerebellum</style></keyword><keyword><style  face="normal" font="default" size="100%">cost minimization</style></keyword><keyword><style  face="normal" font="default" size="100%">nucleo-olivary inhibition</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/chapter/10.1007/978-3-319-09435-9_2</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><volume><style face="normal" font="default" size="100%">8608</style></volume><pages><style face="normal" font="default" size="100%">11–22</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-09434-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Expressive Agents for Symbiotic Education and Learning (EASEL) project will explore human-robot symbiotic interaction (HRSI) with the aim of developing an understanding of symbiosis over long term tutoring interactions. The EASEL system will be built upon an established and neurobiologically grounded architecture - Distributed Adaptive Control (DAC). Here we present the design of an initial experiment in which our facially expressive humanoid robot will interact with children at a public exhibition. We discuss the range of measurements we will employ to explore the effects our robot’s expressive ability has on interaction with children during HRSI, with the aim of contributing optimal robot personality parameters to the final EASEL model.&lt;/p&gt;
</style></abstract></record></records></xml>