@inproceedings {2024, title = {A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training}, booktitle = {Social Robotics. 15th International Conference, ICSR 2023, Proceedings Part II}, volume = {LNAI 14454}, year = {2024}, pages = {108{\textendash}122}, publisher = {Springer}, organization = {Springer}, address = {Doha, Qatar, December 3{\textendash}7, 2023}, isbn = {978-981-99-8717-7}, issn = {0302-9743}, doi = {10.1007/978-981-99-8718-4}, url = {https://doi.org/10.1007/978-981-99-8718-4}, author = {Markelius, A. and Sj{\"o}berg, S. and Lemhaouri, Z. and Cohen, L. and Lowe, R. and Ca{\~n}amero, L.}, editor = {Abdulaziz Al Ali and Nader Meskin and Wanyue Jiang and Shuzhi Sam Ge and John-John Cabibihan and Silvia Rossi and Hongsheng He} } @proceedings {2022, title = {From Animals to Animats 16. Proceedings 16th International Conference on Simulation of Adaptive Behavior, SAB 2022}, volume = {volume 13499}, year = {2022}, publisher = {Springer, LNAI, LNCS }, address = {CY Cergy Paris University, Cergy-Pontoise, France, September 20{\textendash}23, 2022}, isbn = {978-3-031-16769-0}, doi = {10.1007/978-3-031-16770-6}, url = {https://doi.org/10.1007/978-3-031-16770-6}, editor = {L. Ca{\~n}amero and Philippe Gaussier and M. Wilson and Sofiane Boucenna and N. Cuperlier} } @inbook {2022, title = {Preface}, booktitle = {From Animals to Animats 16. Proceedings 16th International Conference on Simulation of Adaptive Behavior, SAB 2022}, number = {LNAI, LNCS, volume 13499}, year = {2022}, pages = {v - x}, publisher = {Springer, LNAI, LNCS}, organization = {Springer, LNAI, LNCS}, isbn = {978-3-031-16769-0}, issn = {0302-9743}, doi = {10.1007/978-3-031-16770-6}, url = {https://doi.org/10.1007/978-3-031-16770-6}, author = {Ca{\~n}amero, L. and Philippe Gaussier and Wilson, M. and Sofiane Boucenna and Cuperlier, N.} } @inproceedings {2021, title = {Induction of the being-seen-feeling by an embodied conversational agent in a socially interactive context}, booktitle = {21st ACM International Conference on Intelligent Virtual Agents}, year = {2021}, note = {Download (Open Access)}, month = {09/2021}, url = {https://hal.archives-ouvertes.fr/hal-03342893/document}, author = {Micka{\"e}lla Grondin-Verdon and Nezih Younsi and Michele Grimaldi and Catherine Pelachaud and Laurence Chaby and Lola Ca{\~n}amero} } @inproceedings {2017, title = {A Flexible Component-Based Robot Control Architecture for Hormonal Modulation of Behaviour and Affect}, booktitle = {Proc. Towards Autonomous Robotic Systems 18th Annual Conference, TAROS 2017}, series = {LNCS}, volume = {10454}, year = {2017}, note = {Download}, month = {07/2017}, pages = {464{\textendash}474}, publisher = {Springer International}, organization = {Springer International}, address = {Guildford, UK}, abstract = {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.}, isbn = {978-3-319-64106-5}, doi = {10.1007/978-3-319-64107-2_36}, url = {https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36}, author = {Hickton, Luke and Lewis, Matthew and Lola Ca{\~n}amero}, editor = {Gao, Yang and Fallah, Saber and Jin, Yaochu and Lekakou, Constantina} } @article {2013, title = {Hedonic Value: Enhancing Adaptation for Motivated Agents}, journal = {Adaptive Behavior}, volume = {21}, year = {2013}, note = {Download}, pages = {465{\textendash}483}, publisher = {SAGE}, abstract = {Reinforcement learning (RL) in the context of artificial agents is typically used to produce behavioural responses as a function of the reward obtained by interaction with the environment. When the problem consists of learning the shortest path to a goal, it is common to use reward functions yielding a fixed value after each decision, for example a positive value if the target location has been attained and a negative one at each intermediate step. However, this fixed strategy may be overly simplistic for agents to adapt to dynamic environments, in which resources may vary from time to time. By contrast, there is significant evidence that most living beings internally modulate reward value as a function of their context to expand their range of adaptivity. Inspired by the potential of this operation, we present a review of its underlying processes and we introduce a simplified formalisation for artificial agents. The performance of this formalism is tested by monitoring the adaptation of an agent endowed with a model of motivated actor-critic, embedded with our formalisation of value and constrained by physiological stability, to environments with different resource distribution. Our main result shows that the manner in which reward is internally processed as a function of the agent{\textquoteright}s motivational state, strongly influences adaptivity of the behavioural cycles generated and the agent{\textquoteright}s physiological stability.}, keywords = {Actor-Critic, Grounding, Hedonic Value, Motivation, Reinforcement Learning}, issn = {1059-7123}, doi = {10.1177/1059712313486817}, url = {https://journals.sagepub.com/doi/10.1177/1059712313486817}, author = {Ignasi Cos and Lola Ca{\~n}amero and Gillian M Hayes and Gillies, Andrew} } @inproceedings {2011, title = {Grounding Synthetic Knowledge: An Epistemological Framework and Criteria of Relevance for the Scientific Exploration of Life, Affect and Social Cognition}, booktitle = {Advances In Artificial Life, ECAL 2011 (Proc. 11th European Conference on Artificial Life)}, year = {2011}, note = {Download (PDF)}, pages = {200{\textendash}207}, publisher = {MIT Press}, organization = {MIT Press}, address = {Paris, France}, abstract = {In what ways can artificial life contribute to the scientific exploration of cognitive, affective and social processes? In what sense can synthetic models be relevant for the advancement of behavioral and cognitive sciences? This article addresses these questions by way of a case study {\textemdash} an interdisciplinary cooperation between developmental robotics and developmental psychology in the exploration of attachment bonds. Its main aim is to show how the synthetic study of cognition, as well as the synthetic study of life, can find in autopoietic cognitive biology more than a theory useful to inspire the synthetic modelling of the processes under inquiry. We argue that autopoiesis offers, not only to artificial life, but also to the behavioural and social sciences, an epistemological framework able to generate general criteria of relevance for synthetic models of living and cognitive processes. By {\textquotedblleft}criteria of relevance{\textquotedblright} we mean criteria (a) valuable for the three main branches of artificial life (soft, hard, and wet) and (b) useful for determining the significance of the models each branch produces for the scientific exploration of life and cognition. On the basis of these criteria and their application to the case study presented, this article defines a range of different ways that synthetic, and particularly autopoiesis-based models, can be relevant to the inquiries of biological, behavioural and cognitive sciences.}, isbn = {978-0-262-29714-1}, url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262297140chap33.pdf}, author = {Luisa Damiano and Antoine Hiolle and Lola Ca{\~n}amero}, editor = {Tom Lenaerts and Mario Giacobini and Hugues Bersini and Paul Bourgine and Marco Dorigo and Ren{\'e} Doursat} } @inbook {2010, title = {Emotion et cognition: les robots comme outils et mod{\`e}les}, booktitle = {Syst{\`e}mes d{\textquoteright}interaction {\'e}motionnelle}, year = {2010}, publisher = {Lavoisier Hermes Science}, organization = {Lavoisier Hermes Science}, chapter = {9}, address = {Paris, France}, isbn = {978-2-7462-2115-4}, author = {Lola Ca{\~n}amero and Philippe Gaussier and C Hasson and Antoine Hiolle}, editor = {Catherine Pelachaud} } @inproceedings {2010, title = {Using the Interaction Rhythm as a Natural Reinforcement Signal for Social Robots: A Matter of Belief}, booktitle = {Proc. International Conference on Social Robotics, ICSR 2010}, series = {Lecture Notes in Computer Science}, volume = {6414}, year = {2010}, pages = {81{\textendash}89}, publisher = {Springer}, organization = {Springer}, address = {Singapore}, abstract = {In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to learn sensorimotor associations. The algorithm uses breaks and variations in the rhythm at which the human is producing actions. The concept is based on the hypothesis that a constant rhythm is an intrinsic property of a positive interaction whereas a break reflects a negative event. Subjects from various backgrounds interacted with a NAO robot where they had to teach the robot to mirror their actions by learning the correct sensorimotor associations. The results show that in order for the rhythm to be a useful reinforcement signal, the subjects have to be convinced that the robot is an agent with which they can act naturally, using their voice and facial expressions as cues to help it understand the correct behaviour to learn. When the subjects do behave naturally, the rhythm and its variations truly reflects how well the interaction is going and helps the robot learn efficiently. These results mean that non-expert users can interact naturally and fruitfully with an autonomous robot if the interaction is believed to be natural, without any technical knowledge of the cognitive capacities of the robot.}, isbn = {978-3-642-17247-2}, doi = {10.1007/978-3-642-17248-9_9}, author = {Antoine Hiolle and Lola Ca{\~n}amero and Peirre Andry and Arnaud J Blanchard and Philippe Gaussier}, editor = {Shuzhi Sam Ge and Haizhou Li and John-John Cabibihan and Yeow Kee Tan} } @inproceedings {2009, title = {The Influence of Social Interaction on the Perception of Emotional Expression: A Case Study with a Robot Head}, booktitle = {Advances in Robotics: Proc. FIRA RoboWorld Congress 2009}, series = {Lecture Notes in Computer Science}, volume = {5744}, year = {2009}, month = {08/2009}, pages = {63{\textendash}72}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, address = {Incheon, Korea}, abstract = {In this paper we focus primarily on the influence that socio-emotional interaction has on the perception of emotional expression by a robot. We also investigate and discuss the importance of emotion expression in socially interactive situations involving human robot interaction (HRI), and show the importance of utilising emotion expression when dealing with interactive robots, that are to learn and develop in socially situated environments. We discuss early expressional development and the function of emotion in communication in humans and how this can improve HRI communications. Finally we provide experimental results showing how emotion-rich interaction via emotion expression can affect the HRI process by providing additional information.}, isbn = {978-3-642-03983-6}, doi = {10.1007/978-3-642-03983-6_10}, url = {https://link.springer.com/chapter/10.1007\%2F978-3-642-03983-6_10}, author = {John C Murray and Lola Ca{\~n}amero and Kim A. Bard and Ross, Marina Davila and Thorsteinsson, Kate}, editor = {Kim, Jong-Hwan and Ge, Shuzhi Sam and Vadakkepat, Prahlad and Jesse, Norbert and Al Manum, Abdullah and Puthusserypady K, Sadasivan and R{\"u}ckert, Ulrich and Sitte, Joaquin and Witkowski, Ulf and Nakatsu, Ryohei and Braunl, Thomas and Baltes, Jacky and Anderson, John and Wong, Ching-Chang and Verner, Igor and Ahlgren, David} } @article {2008, title = {Reconnaissance et r{\'e}sonance {\'e}motionnelle face {\`a} un humain et {\`a} un robot chez des enfants typiques et des enfants avec autisme de haut niveau}, year = {2008}, author = {M Simon and P Canet and R Soussignan and Philippe Gaussier and Lola Ca{\~n}amero and Jacqueline Nadel} } @inproceedings {2006, title = {Human Responses to an Expressive Robot}, booktitle = {Proceedings of the Sixth International Workshop on Epigenetic Robotics}, series = {Lund University Cognitive Studies}, volume = {128}, year = {2006}, pages = {79{\textendash}86}, publisher = {Lund University}, organization = {Lund University}, address = {Paris, France}, abstract = {This paper reports the results of the first study comparing subjects{\textquoteright} responses to robotic emotional facial displays and human emotional facial displays. It describes step by step the building of believable emotional expressions in a robotic head, the problems raised by a comparative approach of robotic and human expressions, and the solutions found in order to ensure a valid comparison. Twenty adults and 15 children aged 3 were presented static (photos) and dynamic (2-D videoclips, or 3-D live) displays of emotional expressions presented by a robot or a person. The study compares two dependent variables: emotional resonance (automatic facial feed-back during an emotional display) and emotion recognition (emotion labeling) according to partners (robot or person) and to the nature of the display (static or dynamic). Results for emotional resonance were similar with young children and with adults. Both groups resonated significantly more to dynamic displays than to static displays, be they robotic expressions or human expressions. In both groups, emotion recognition was easier for human expressions than for robotic ones. Unlike children that recognized more easily emotional expressions dynamically displayed, adults scored higher with static displays thus reflecting a cognitive strategy independent from emotional resonance. Results are discussed in the perspective of the therapeutic use of this comparative approach with children with autism that are described as impaired in emotion sharing and communication.}, isbn = {91-974741-6-9}, issn = {1101-8453}, url = {https://www.lucs.lu.se/LUCS/128/Nadeletal.pdf}, author = {Jacqueline Nadel and M Simon and P Canet and R Soussignan and P Blancard and Lola Ca{\~n}amero and Philippe Gaussier} } @inproceedings {2005, title = {Ecological Integration of Affordances and Drives for Behaviour Selection}, booktitle = {Proc. IJCAI 2005 Workshop on Modeling Natural Action Selection}, year = {2005}, pages = {225{\textendash}228}, address = {Edinburgh, Scotland}, abstract = {This paper shows a study of the integration of physiology and perception in a biologically inspired robotic architecture that learns behavioural patterns by interaction with the environment. This implements a hierarchical view of learning and behaviour selection which bases adaptation on a relationship between reinforcement and the agent{\textquoteright}s inner motivations. This view ingrains together the basic principles necessary to explain the underlying processes of learning behavioural patterns and the way these change via interaction with the environment. These principles have been experimentally tested and the results are presented and discussed throughout the paper.}, isbn = {1-902956-40-9}, author = {Cos-Aguilera, Ignasi and Lola Ca{\~n}amero and Gillian M Hayes and Gillies, Andrew}, editor = {Joanna J Bryson and Tony J Prescott and Anil K Seth} } @inbook {2005, title = {Emotion Understanding: Robots as Tools and Models}, booktitle = {Emotional Development: Recent Research Advances}, year = {2005}, pages = {235{\textendash}258}, publisher = {Oxford University Press}, organization = {Oxford University Press}, chapter = {9}, isbn = {0-19-85-2883-3 (Hbk) 0-19-85-2884-1 (Pbk)}, doi = {10.1093/acprof:oso/9780198528845.003.0009}, author = {Lola Ca{\~n}amero and Philippe Gaussier}, editor = {Jacqueline Nadel and Darwin Muir} } @inproceedings {2002, title = {Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents}, booktitle = {Advances in Artificial Intelligence {\textendash} IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI}, series = {Lecture Notes in Computer Science}, volume = {2527}, year = {2002}, pages = {855{\textendash}864}, publisher = {Springer}, organization = {Springer}, address = {Seville, Spain}, abstract = {Embodied autonomous agents are systems that inhabit dynamic, unpredictable environments in which they try to satisfy a set of time-dependent goals or motivations in order to survive. One of the problems that this implies is action selection, the task of resolving conflicts between competing behavioral alternatives. We present an experimental comparison of two action selection mechanisms (ASM), implementing "winner-takes-all" (WTA) and "voting-based" (VB) policies respectively, modeled using a motivational behavior-based approach. This research shows the adequacy of these two ASM with respect to different sources of environmental complexity and the tendency of each of them to show different behavioral phenomena.}, isbn = {978-3-540-00131-7}, doi = {10.1007/3-540-36131-6_87}, author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero}, editor = {Garijo, Francisco J and Riquelme, Jos{\'e} C and Toro, Miguel} } @inproceedings {1999, title = {First Proposal for an Agent Architecture for Team and Multiple Task Coordination: A Case Study in Robotic Soccer}, booktitle = {Proc. 2nd Catalan Conference on Artificial Intelligence (CCIA{\textquoteright}99)}, year = {1999}, month = {10/1999}, address = {Girona, Spain}, abstract = {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.}, author = {Eduard Gim{\'e}nez and D Ca{\~n}amero} }