@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 {2014, title = {Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions}, booktitle = {Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014)}, year = {2014}, note = {Download (Open Access)}, pages = {51{\textendash}56}, publisher = {ICSA}, organization = {ICSA}, address = {Singapore}, abstract = {Obtaining spontaneous emotional expressions is the very first and vital step in affective computing studies, for both psychologists and computer scientists. However, it is quite challenging to record them in real life, especially when certain modalities are required (e.g. 3D representation of the body). Traditional elicitation and capturing protocols either introduce the awareness of the recording, which may impair the naturalness of the behaviors, or cause too much information loss. In this paper, we present natural emotion elicitation and recording experiments, which were set in child-robot interaction scenarios. Several state-of-the-art technologies were employed to acquire the multi-modal expressive data that will be further used for emotion modeling and recognition studies. The obtained recordings exhibit the expected emotional expressions.}, url = {https://www.isca-speech.org/archive/wocci_2014/wc14_051.html}, author = {Wang, Weiyi and Athanasopoulos, Georgios and Yilmazyildiz, Selma and Patsis, Georgios and Valentin Enescu and Hichem Sahli and Verhelst, Werner and Antoine Hiolle and Lewis, Matthew and Lola Ca{\~n}amero} } @article {2012, title = {Multimodal Child-Robot Interaction: Building Social Bonds}, journal = {Journal of Human-Robot Interaction}, volume = {1}, year = {2012}, note = {Download (Open Access)}, pages = {33{\textendash}53}, abstract = {For robots to interact effectively with human users they must be capable of coordinated, timely behavior in response to social context. The Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E) project focuses on the design of long-term, adaptive social interaction between robots and child users in real-world settings. In this paper, we report on the iterative approach taken to scientific and technical developments toward this goal: advancing individual technical competencies and integrating them to form an autonomous robotic system for evaluation {\textquotedblleft}in the wild.{\textquotedblright} The first evaluation iterations have shown the potential of this methodology in terms of adaptation of the robot to the interactant and the resulting influences on engagement. This sets the foundation for an ongoing research program that seeks to develop technologies for social robot companions.}, doi = {10.5898/JHRI.1.2.Belpaeme}, url = {https://dl.acm.org/doi/10.5555/3109688.3109691}, author = {Tony Belpaeme and Paul E. Baxter and Robin Read and Rachel Wood and Cuay{\'a}huitl, Heriberto and Kiefer, Bernd and Racioppa, Stefania and Kruijff-Korbayov{\'a}, Ivana and Athanasopoulos, Georgios and Valentin Enescu and Rosemarijn Looije and Mark A. Neerincx and Yiannis Demiris and Raquel Ros-Espinoza and Aryel Beck and Lola Ca{\~n}amero and Lewis, Matthew and Baroni, Ilaria and Nalin, Marco and Cosi, Piero and Giulio Paci and Tesser, Fabio and Sommavilla, Giacomo and Remi Humbert} } @inproceedings {2011, title = {Long-Term Human-Robot Interaction with Young Users}, booktitle = {Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop)}, year = {2011}, note = {Downlaod}, address = {Lausanne, Switzerland}, abstract = {Artificial companion agents have the potential to combine novel means for effective health communication with young patients support and entertainment. However, the theory and practice of long-term child-robot interaction is currently an underdeveloped area of research. This paper introduces an approach that integrates multiple functional aspects necessary to implement temporally extended human-robot interaction in the setting of a paediatric ward. We present our methodology for the implementation of a companion robot which will be used to support young patients in hospital as they learn to manage a lifelong metabolic disorder (diabetes). The robot will interact with patients over an extended period of time. The necessary functional aspects are identified and introduced, and a review of the technical challenges involved is presented.}, url = {https://www.researchgate.net/publication/228470784_Long-term_human-robot_interaction_with_young_users}, author = {Paul E. Baxter and Tony Belpaeme and Lola Ca{\~n}amero and Cosi, Piero and Yiannis Demiris and Valentin Enescu and Antoine Hiolle and Kruijff-Korbayov{\'a}, Ivana and Rosemarijn Looije and Nalin, Marco and Mark A. Neerincx and Hichem Sahli and Giocomo Sommavilla and Tesser, Fabio and Rachel Wood} } @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} } @inproceedings {2008, title = {Evolving Morphological and Behavioral Diversity Without Predefined Behavior Primitives}, booktitle = {Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems}, year = {2008}, month = {08/2008}, pages = {474{\textendash}481}, publisher = {MIT Press}, organization = {MIT Press}, address = {Winchester, UK}, abstract = {Virtual ecosystems, where natural selection is used to evolve complex agent behavior, are often preferred to traditional genetic algorithms because the absence of an explicitly defined fitness allows for a less constrained evolutionary process. However, these model ecosystems typically pre-specify a discrete set of possible action primitives the agents can perform. We think that this also constrains the evolutionary process with the modellers preconceptions of what possible solutions could be. Therefore, we propose an ecosystem model to evolve complete agents where all higher-level behavior results strictly from the interplay between extremely simple components and where no {\textquoteleft}behavior primitives{\textquoteright} are defined. On the basis of four distinct survival strategies we show that such primitives are not necessary to evolve behavioral diversity even in a simple and homogeneous environment.}, isbn = {978-0-262-75017-2}, url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262287196chap62.pdf}, author = {Pichler, Peter-Paul and Lola Ca{\~n}amero}, editor = {Seth Bullock and Jason Noble and Richard A. Watson and Mark A Bedau} } @inproceedings {2008, title = {Optimal Noise in Spiking Neural Networks for the Detection of Chemicals by Simulated Agents}, booktitle = {Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems}, year = {2008}, month = {08/2008}, pages = {443{\textendash}449}, publisher = {MIT Press}, organization = {MIT Press}, address = {Winchester, UK}, abstract = {We created a spiking neural controller for an agent that could use two different types of information encoding strategies depending on the level of chemical concentration present in the environment. The first goal of this research was to create a simulated agent that could react and stay within a region where there were two different overlapping chemicals having uniform concentrations. The agent was controlled by a spiking neural network that encoded sensory information using temporal coincidence of incoming spikes when the level of chemical concentration was low, and as firing rates at high level of concentration. With this architecture, we could study synchronization of firing in a simple manner and see its effect on the agent{\textquoteright}s behaviour. The next experiment we did was to use a more realistic model by having an environment composed of concentration gradients and by adding input current noise to all neurons. We used a realistic model of diffusive noise and showed that it could improve the agent{\textquoteright}s behaviour if used within a certain range. Therefore, an agent with neuronal noise was better able to stay within the chemical concentration than an agent without.}, isbn = {978-0-262-75017-2}, url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262287196chap58.pdf}, author = {Oros, Nicolas and Volker Steuber and Davey, Neil and Lola Ca{\~n}amero and Roderick G Adams}, editor = {Seth Bullock and Jason Noble and Richard A. Watson and Mark A Bedau} } @inproceedings {2008, title = {Why Should You Care? An Arousal-Based Model of Exploratory Behavior for Autonomous Robots}, booktitle = {Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems}, year = {2008}, month = {08/2008}, pages = {242{\textendash}248}, publisher = {MIT Press}, organization = {MIT Press}, address = {Winchester, UK}, abstract = {The question of how autonomous robots could be part of our everyday life is of a growing interest. We present here an experiment in which an autonomous robot explores its environment and tries to familiarize itself with the features available using a neural-network-based architecture. The lack of stability of its learning structures increases the arousal level of the robot, pushing the robot to look for comfort from its caretaker to reduce the arousal. In this paper, we studied how the behavior of the caretaker influences the course of the robot exploration and learning experience by providing certain amount of comfort during this exploration. We then draw some conclusions on how to use this architecture together with related work, to enhance the adaptability of autonomous robots development.}, isbn = {978-0-262-75017-2}, url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262287196chap32.pdf}, author = {Antoine Hiolle and Lola Ca{\~n}amero}, editor = {Seth Bullock and Jason Noble and Richard A. Watson and Mark A Bedau} } @inproceedings {2006, title = {Modulation of Exploratory Behavior for Adaptation to the Context}, booktitle = {Proc. AISB 2006 Symposium on Biologically Inspired Robotics (Biro-net)}, year = {2006}, pages = {131{\textendash}137}, publisher = {AISB Press}, organization = {AISB Press}, address = {Bristol, UK}, abstract = {For autonomous agents (children, animals or robots), exploratory learning is essential as it allows them to take advantage of their past experiences in order to improve their reactions in any situation similar to a situation already experimented. We have already exposed in Blanchard and Canamero (2005) how a robot can learn which situations it should memorize and try to reach, but we expose here architectures allowing the robot to take initiatives and explore new situations by itself. However, exploring is a risky behavior and we propose to moderate this behavior using novelty and context based on observations of animals behaviors. After having implemented and tested these architectures, we present a very interesting emergent behavior which is low-level imitation modulated by context.}, url = {https://uhra.herts.ac.uk/handle/2299/9888}, author = {Arnaud J Blanchard and Lola Ca{\~n}amero}, editor = {J Burn and M Wilson} } @inproceedings {2004, title = {The Evolution of Affect-Related Displays, Recognition and Related Strategies}, booktitle = {ALIFE IX: Proceeding of the 9th international conference on the simulation and synthesis of living systems}, year = {2004}, pages = {176{\textendash}181}, publisher = {MIT Press}, organization = {MIT Press}, abstract = {This paper presents an ecologically motivated, bottom-up approach to investigating the evolution of expression, perception and related behaviour of affective internal states that complements game-theoretic studies of the evolutionary success of animal display. Our results show that the perception of displays related to affect greatly influences both the types of display produced and also the survival prospects of agents. Relative to agents that do not perceive rival agent internal state, affect perceivers prosper if the initial environment in which they reside provides numerous opportunities for interaction with other agents and resources. Conversely, where the initial environment with sparse resources does not allow for regular interaction, ability to perceive affect is not as facilitatory to survival. Furthermore, the agents evolve particular display strategies distorting the expression of affect and greatly influencing the proportion of affect perceiving to nonaffect perceiving agents over evolutionary time.}, isbn = {9780262661836}, author = {Robert Lowe and Lola Ca{\~n}amero and Nehaniv, Chrystopher L and Daniel Polani}, editor = {Jordan Pollack and Mark A Bedau and Phil Husbands and Takashi Ikegami and Richard A. Watson} } @inproceedings {2000, title = {Designing Clustering Methods for Ontology Building: The Mo{\textquoteright}K Workbench}, booktitle = {Proc. First Workshop on Ontology Learning. Workshop of the 14th European Conference on Artificial Intelligence (ECAI 2000)}, year = {2000}, pages = {13{\textendash}18}, abstract = {This paper describes Mo{\textquoteright}K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo{\textquoteright}K is intended to assist ontology developers in the exploratory process of defining the most suitable learning methods for a given task. To do so, it provides facilities for evaluation, comparison, characterization and elaboration of conceptual clustering methods. Also, the model underlying Mo{\textquoteright}K permits a fine- grained definition of similarity measures and class construction operators, easing the tasks of method instantiation and configuration. This paper presents some experimental results that illustrate the suitability of the model to help characterize and assess the performance of different methods that learn semantic classes from parsed corpora.}, author = {Bisson, Gilles and N{\'e}dellec, Claire and Ca{\~n}amero, Lola D}, editor = {Staab, S and Maedche, A and N{\'e}dellec, Claire and Wiemer-Hastins, P} }