<?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%">Laura Cohen</style></author><author><style face="normal" font="default" size="100%">Ann Nowé</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A functionalist approach to language learning in robots: the development of meaning potentials in social and emotional contexts</style></title><secondary-title><style face="normal" font="default" size="100%">HBCR 2021: IROS 2021 workshop on Human-Like Behavior and Cognition in Robots</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://sites.google.com/view/hbcr-workshop-2021/speakers</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><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%">Hickton, Luke</style></author><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gao, Yang</style></author><author><style face="normal" font="default" size="100%">Fallah, Saber</style></author><author><style face="normal" font="default" size="100%">Jin, Yaochu</style></author><author><style face="normal" font="default" size="100%">Lekakou, Constantina</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Flexible Component-Based Robot Control Architecture for Hormonal Modulation of Behaviour and Affect</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. Towards Autonomous Robotic Systems 18th Annual Conference, TAROS 2017</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">LNCS</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">07/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International</style></publisher><pub-location><style face="normal" font="default" size="100%">Guildford, UK</style></pub-location><volume><style face="normal" font="default" size="100%">10454</style></volume><pages><style face="normal" font="default" size="100%">464–474</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-64106-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper we present the foundations of an architecture that will support the wider context of our work, which is to explore the link between affect, perception and behaviour from an embodied perspective and assess their relevance to Human Robot Interaction (HRI). Our approach builds upon existing affect-based architectures by combining artificial hormones with discrete abstract components that are designed with the explicit consideration of influencing, and being receptive to, the wider affective state of the robot.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36&quot;&gt;Download&lt;/a&gt;</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lones, John</style></author><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From Sensorimotor Experiences to Cognitive Development: Investigating the Influence of Experiential Diversity on the Development of an Epigenetic Robot</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers in Robotics and AI</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://journal.frontiersin.org/article/10.3389/frobt.2016.00044</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Frontiers</style></publisher><volume><style face="normal" font="default" size="100%">3</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Using an epigenetic model, in this paper we investigate the importance of sensorimotor experiences and environmental conditions in the emergence of more advanced cognitive abilities in an autonomous robot. We let the robot develop in three environments affording very different (physical and social) sensorimotor experiences: a &quot;normal&quot;, standard environment, with reasonable opportunities for stimulation, a &quot;novel&quot; environment that offers many novel experiences, and a &quot;sensory deprived&quot; environment where the robot has very few and over-simplistic chances to interact. We then: (a) assess how these different experiences influence and change the robot's ongoing development and behavior; (b) compare the said development to the different sensorimotor stages that infants go through and (c) finally after each &quot;baby&quot; robot has had time to develop in its environment, we recreate and asses its cognitive abilities using different well-known tests used with human infants such as violation of expectation (VOE) paradigm. Although our model was not explicitly designed following Piaget's, or any other sensorimotor developmental theory, we observed, and discuss in the paper, that relevant sensorimotor experiences, or the lack of, result in the robot going through unplanned development &quot;stages&quot; bearing some similarities to infant development, and could be interpreted in terms of Piaget's theory.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;http://journal.frontiersin.org/article/10.3389/frobt.2016.00044&quot;&gt;Download&lt;/a&gt; (Open Access)</style></notes></record><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%">Junpei Zhong</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From Continuous Affective Space to Continuous Expression Space: Non-Verbal Behaviour Recognition and Generation</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob 2014)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ieeexplore.ieee.org/document/6982957/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Genoa, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">75–80</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this research, a recurrent neural network with parametric bias (RNNPB) was adopted to construct a continuous expression space from emotion caused human behaviours. It made use of the short-term memory ability of the recurrent weights to store spatio-temporal sequences features, while the attached parametric bias units were trained in a self-organizing way and represented as a low-dimensional expression space to capture these non-linear features of the sequences. Three demonstrations were given: training and recognition performances were examined in computer simulations, while the network generated both trained and novel movements were shown in a three-dimensional avatar demonstrations.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://ieeexplore.ieee.org/document/6982957&quot;&gt;Download&lt;/a&gt;</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luisa Damiano</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Frontier of Synthetic Knowledge: Toward a Constructivist Science</style></title><secondary-title><style face="normal" font="default" size="100%">World Futures</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.tandfonline.com/doi/abs/10.1080/02604027.2012.668409</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Taylor &amp; Francis</style></publisher><volume><style face="normal" font="default" size="100%">68</style></volume><pages><style face="normal" font="default" size="100%">171–177</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This article focuses on the frontier between the technological domain of production of artefacts and the naturalistic domain of the sciences of life and cognition. It shows that, since the 1940s, this frontier has become the place of production of an innovative kind of scientific knowledge—“synthetic knowledge.” The article describes the methodology and the main characteristics of synthetic knowledge, and formulates a hypothesis on its epistemological genealogy. Accordingly, it characterizes synthetic knowledge as one of the most advanced expressions of a heterodox tradition of research which, since the 1930s, has been promoting the development of a “non-representationalist”—“constructivist”—science.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://www.tandfonline.com/doi/abs/10.1080/02604027.2012.668409&quot;&gt;Download&lt;/a&gt;</style></notes></record><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%">Arnaud J Blanchard</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Luc Berthouze</style></author><author><style face="normal" font="default" size="100%">Frédéric Kaplan</style></author><author><style face="normal" font="default" size="100%">Hideki Kozima</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Yano</style></author><author><style face="normal" font="default" size="100%">Jürgen Konczak</style></author><author><style face="normal" font="default" size="100%">Giorgio Metta</style></author><author><style face="normal" font="default" size="100%">Jacqueline Nadel</style></author><author><style face="normal" font="default" size="100%">Giulio Sandini</style></author><author><style face="normal" font="default" size="100%">Georgi Stojanov</style></author><author><style face="normal" font="default" size="100%">Christian Balkenius</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">From Imprinting to Adaptation: Building a History of Affective Interaction</style></title><secondary-title><style face="normal" font="default" size="100%">Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob2005)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><publisher><style face="normal" font="default" size="100%">Lund University Cognitive Studies</style></publisher><pages><style face="normal" font="default" size="100%">23–30</style></pages><isbn><style face="normal" font="default" size="100%">91-974741-4-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a Perception-Action architecture and experiments to simulate imprinting—the establishment of strong attachment links with a &quot;caregiver&quot;—in a robot. Following recent theories, we do not consider imprinting as rigidly timed and irreversible, but as a more flexible phenomenon that allows for further adaptation as a result of reward-based learning through experience. Our architecture reconciles these two types of perceptual learning traditionally considered as different and even incompatible. After the initial imprinting, adaptation is achieved in the context of a history of &quot;affective&quot; interactions between the robot and a human, driven by &quot;distress&quot; and &quot;comfort&quot; responses in the robot.</style></abstract></record><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%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Avila-García, Orlando</style></author><author><style face="normal" font="default" size="100%">Hafner, Elena</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">First Experiments Relating Behavior Selection Architectures to Environmental Complexity</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Lausanne, Switzerland</style></pub-location><pages><style face="normal" font="default" size="100%">3024–3029</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Assessing the performance of behavior selection architectures for autonomous robots is a complex task that depends on many factors. This paper reports a study comparing four motivated behavior-based architectures in different worlds with varying degrees and types of complexity, and analyzes performance results (in terms of viability, life span, and global life quality) relating architectural features to environmental complexity.</style></abstract></record><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%">Eduard Giménez</style></author><author><style face="normal" font="default" size="100%">D Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">First Proposal for an Agent Architecture for Team and Multiple Task Coordination: A Case Study in Robotic Soccer</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 2nd Catalan Conference on Artificial Intelligence (CCIA'99)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/1999</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Girona, Spain</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper we propose a general agent architecture from which heterogeneous agents can be easily derived. Based on roles and ploy patterns, each agent is capable of performing its own individual duty while cooperating with other agents. We also describe a mechanism for real-time coordination of multiple behaviors.</style></abstract></record></records></xml>