%0 Conference Proceedings %B From Animals to Animats 16. Proceedings 16th International Conference on Simulation of Adaptive Behavior, SAB 2022 %D 2022 %T From Animals to Animats 16. Proceedings 16th International Conference on Simulation of Adaptive Behavior, SAB 2022 %E L. Cañamero %E Philippe Gaussier %E M. Wilson %E Sofiane Boucenna %E N. Cuperlier %B From Animals to Animats 16. Proceedings 16th International Conference on Simulation of Adaptive Behavior, SAB 2022 %I Springer, LNAI, LNCS %C CY Cergy Paris University, Cergy-Pontoise, France, September 20–23, 2022 %V volume 13499 %@ 978-3-031-16769-0 %G eng %U https://doi.org/10.1007/978-3-031-16770-6 %R 10.1007/978-3-031-16770-6 %0 Conference Paper %B HBCR 2021: IROS 2021 workshop on Human-Like Behavior and Cognition in Robots %D 2021 %T A functionalist approach to language learning in robots: the development of meaning potentials in social and emotional contexts %A Laura Cohen %A Ann Nowé %A Lola Cañamero %B HBCR 2021: IROS 2021 workshop on Human-Like Behavior and Cognition in Robots %8 09/2021 %G eng %U https://sites.google.com/view/hbcr-workshop-2021/speakers %0 Conference Paper %B Proc. Towards Autonomous Robotic Systems 18th Annual Conference, TAROS 2017 %D 2017 %T A Flexible Component-Based Robot Control Architecture for Hormonal Modulation of Behaviour and Affect %A Hickton, Luke %A Lewis, Matthew %A Lola Cañamero %E Gao, Yang %E Fallah, Saber %E Jin, Yaochu %E Lekakou, Constantina %X 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. %B Proc. Towards Autonomous Robotic Systems 18th Annual Conference, TAROS 2017 %S LNCS %I Springer International %C Guildford, UK %V 10454 %P 464–474 %8 07/2017 %@ 978-3-319-64106-5 %G eng %U https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36 %R 10.1007/978-3-319-64107-2_36 %0 Journal Article %J Frontiers in Robotics and AI %D 2016 %T From Sensorimotor Experiences to Cognitive Development: Investigating the Influence of Experiential Diversity on the Development of an Epigenetic Robot %A Lones, John %A Lewis, Matthew %A Lola Cañamero %X 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 "normal", standard environment, with reasonable opportunities for stimulation, a "novel" environment that offers many novel experiences, and a "sensory deprived" 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 "baby" 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 "stages" bearing some similarities to infant development, and could be interpreted in terms of Piaget's theory. %B Frontiers in Robotics and AI %I Frontiers %V 3 %8 08/2016 %G eng %U http://journal.frontiersin.org/article/10.3389/frobt.2016.00044 %R 10.3389/frobt.2016.00044 %0 Conference Paper %B Proc. 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob 2014) %D 2014 %T From Continuous Affective Space to Continuous Expression Space: Non-Verbal Behaviour Recognition and Generation %A Junpei Zhong %A Lola Cañamero %X 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. %B Proc. 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob 2014) %I IEEE %C Genoa, Italy %P 75–80 %8 10/2014 %G eng %U http://ieeexplore.ieee.org/document/6982957/ %R 10.1109/DEVLRN.2014.6982957 %0 Journal Article %J World Futures %D 2012 %T The Frontier of Synthetic Knowledge: Toward a Constructivist Science %A Luisa Damiano %A Lola Cañamero %X 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. %B World Futures %I Taylor & Francis %V 68 %P 171–177 %G eng %U https://www.tandfonline.com/doi/abs/10.1080/02604027.2012.668409 %N 3 %R 10.1080/02604027.2012.668409 %0 Conference Paper %B Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob2005) %D 2005 %T From Imprinting to Adaptation: Building a History of Affective Interaction %A Arnaud J Blanchard %A Lola Cañamero %E Luc Berthouze %E Frédéric Kaplan %E Hideki Kozima %E Hiroyuki Yano %E Jürgen Konczak %E Giorgio Metta %E Jacqueline Nadel %E Giulio Sandini %E Georgi Stojanov %E Christian Balkenius %X We present a Perception-Action architecture and experiments to simulate imprinting—the establishment of strong attachment links with a "caregiver"—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 "affective" interactions between the robot and a human, driven by "distress" and "comfort" responses in the robot. %B Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob2005) %I Lund University Cognitive Studies %P 23–30 %@ 91-974741-4-2 %G eng %0 Conference Paper %B Proc. 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002) %D 2002 %T First Experiments Relating Behavior Selection Architectures to Environmental Complexity %A Lola Cañamero %A Avila-García, Orlando %A Hafner, Elena %X 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. %B Proc. 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002) %I IEEE Press %C Lausanne, Switzerland %P 3024–3029 %G eng %R 10.1109/IRDS.2002.1041732 %0 Conference Paper %B Proc. 2nd Catalan Conference on Artificial Intelligence (CCIA'99) %D 1999 %T First Proposal for an Agent Architecture for Team and Multiple Task Coordination: A Case Study in Robotic Soccer %A Eduard Giménez %A D Cañamero %X 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. %B Proc. 2nd Catalan Conference on Artificial Intelligence (CCIA'99) %C Girona, Spain %8 10/1999 %G eng