TY - CHAP T1 - When Emotional Machines are Intelligent Machines: The Tangled Knot of Affective Cognition T2 - Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine Interaction Y1 - 2023 A1 - Cañamero, L. ED - Misselhorn, C. ED - Poljanšek, T. ED - Störzinger, T. ED - M. Klein AB - Research in neurobiology has provided evidence that emotions pervade human intelligence at many levels. However, “emotion” and “cognition” are still largely conceptualized as separate notions that “interact”, and untangling and modeling those interactions remains a challenge, both in biological and artificial systems. My research focuses on modeling in autonomous robots how “cognition”, “motivation” and “emotion” interact in what we could term embodied affective cognition, and particularly investigating how affect lies at the root of and drives how agents apprehend and interact with the world, making them “intelligent” in the sense of being able to adapt to their environments in flexible and beneficial ways. In this chapter, I discuss this issue as I illustrate how my embodied model of affect has been used in my group to ground a broad range of affective, cognitive and social skills such as adaptive action selection, different types of learning, development, and social interaction. JF - Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine Interaction PB - Springer VS CY - Wiesbaden SN - 978-3-658-37640-6 UR - https://doi.org/10.1007/978-3-658-37641-3_6 ER - TY - CONF T1 - Induction of the being-seen-feeling by an embodied conversational agent in a socially interactive context T2 - 21st ACM International Conference on Intelligent Virtual Agents Y1 - 2021 A1 - Mickaëlla Grondin-Verdon A1 - Nezih Younsi A1 - Michele Grimaldi A1 - Catherine Pelachaud A1 - Laurence Chaby A1 - Lola Cañamero JF - 21st ACM International Conference on Intelligent Virtual Agents UR - https://hal.archives-ouvertes.fr/hal-03342893/document N1 - Download (Open Access) ER - TY - JOUR T1 - Outline of a sensory-motor perspective on intrinsically moral agents JF - Adaptive Behavior Y1 - 2016 A1 - Christian Balkenius A1 - Lola Cañamero A1 - Philip Pärnamets A1 - Birger Johansson A1 - Martin V Butz A1 - Andreas Olsson AB - We propose that moral behaviour of artificial agents could (and should) be intrinsically grounded in their own sensory-motor experiences. Such an ability depends critically on seven types of competencies. First, intrinsic morality should be grounded in the internal values of the robot arising from its physiology and embodiment. Second, the moral principles of robots should develop through their interactions with the environment and with other agents. Third, we claim that the dynamics of moral (or social) emotions closely follows that of other non-social emotions used in valuation and decision making. Fourth, we explain how moral emotions can be learned from the observation of others. Fifth, we argue that to assess social interaction, a robot should be able to learn about and understand responsibility and causation. Sixth, we explain how mechanisms that can learn the consequences of actions are necessary for a robot to make moral decisions. Seventh, we describe how the moral evaluation mechanisms outlined can be extended to situations where a robot should understand the goals of others. Finally, we argue that these competencies lay the foundation for robots that can feel guilt, shame and pride, that have compassion and that know how to assign responsibility and blame. PB - SAGE VL - 24 UR - https://journals.sagepub.com/doi/10.1177/1059712316667203 IS - 5 N1 - Download ER - TY - JOUR T1 - Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users JF - Journal of Human-Robot Interaction Y1 - 2016 A1 - Coninx, Alexandre A1 - Paul E. Baxter A1 - Oleari, Elettra A1 - Bellini, Sara A1 - Bierman, Bert A1 - Henkemans, Olivier Blanson A1 - Lola Cañamero A1 - Cosi, Piero A1 - Valentin Enescu A1 - Espinoza, Raquel Ros A1 - Antoine Hiolle A1 - Remi Humbert A1 - Kiefer, Bernd A1 - Kruijff-Korbayová, Ivana A1 - Looije, Rosmarijn A1 - Mosconi, Marco A1 - Mark A. Neerincx A1 - Giulio Paci A1 - Patsis, Georgios A1 - Pozzi, Clara A1 - Sacchitelli, Francesca A1 - Hichem Sahli A1 - Alberto Sanna A1 - Sommavilla, Giacomo A1 - Tesser, Fabio A1 - Yiannis Demiris A1 - Tony Belpaeme AB - Social robots have the potential to provide support in a number of practical domains, such as learning and behaviour change. This potential is particularly relevant for children, who have proven receptive to interactions with social robots. To reach learning and therapeutic goals, a number of issues need to be investigated, notably the design of an effective child-robot interaction (cHRI) to ensure the child remains engaged in the relationship and that educational goals are met. Typically, current cHRI research experiments focus on a single type of interaction activity (e.g. a game). However, these can suffer from a lack of adaptation to the child, or from an increasingly repetitive nature of the activity and interaction. In this paper, we motivate and propose a practicable solution to this issue: an adaptive robot able to switch between multiple activities within single interactions. We describe a system that embodies this idea, and present a case study in which diabetic children collaboratively learn with the robot about various aspects of managing their condition. We demonstrate the ability of our system to induce a varied interaction and show the potential of this approach both as an educational tool and as a research method for long-term cHRI. VL - 5 UR - https://dl.acm.org/doi/abs/10.5898/JHRI.5.1.Coninx IS - 1 N1 - Download (Open Access) ER - TY - CONF T1 - An Embodied AI Approach to Individual Differences: Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot T2 - Proc. 7th International Conference on Social Robotics (ICSR-2015) Y1 - 2015 A1 - Lewis, Matthew A1 - Oleari, Elettra A1 - Pozzi, Clara A1 - Lola Cañamero ED - Tapus, Adriana ED - André, Elisabeth ED - Martin, Jean-Claude ED - Ferland, François ED - Ammi, Mehdi AB - In this paper we discuss how a motivationally autonomous robot, designed using the principles of embodied AI, provides a suitable approach to address individual differences of children interacting with a robot, without having to explicitly modify the system. We do this in the context of two pilot studies using Robin, a robot to support self-confidence in diabetic children. JF - Proc. 7th International Conference on Social Robotics (ICSR-2015) T3 - Lecture Notes in Computer Science PB - Springer International Publishing CY - Paris SN - 978-3-319-25553-8 UR - https://link.springer.com/chapter/10.1007%2F978-3-319-25554-5_40 N1 - Download (or Download authors' draft) ER - TY - CONF T1 - Let’s Be Friends: Perception of a Social Robotic Companion for children with T1DM T2 - Proc. New Friends 2015 Y1 - 2015 A1 - Kruijff-Korbayová, Ivana A1 - Oleari, Elettra A1 - Pozzi, Clara A1 - Sacchitelli, Francesca A1 - Bagherzadhalimi, Anahita A1 - Bellini, Sara A1 - Kiefer, Bernd A1 - Racioppa, Stefania A1 - Coninx, Alexandre A1 - Paul E. Baxter A1 - Bierman, Bert A1 - Henkemans, Olivier Blanson A1 - Mark A. Neerincx A1 - Rosemarijn Looije A1 - Yiannis Demiris A1 - Espinoza, Raquel Ros A1 - Mosconi, Marco A1 - Cosi, Piero A1 - Remi Humbert A1 - Lola Cañamero A1 - Hichem Sahli A1 - Joachim de Greeff A1 - James Kennedy A1 - Robin Read A1 - Lewis, Matthew A1 - Antoine Hiolle A1 - Giulio Paci A1 - Sommavilla, Giacomo A1 - Tesser, Fabio A1 - Athanasopoulos, Georgios A1 - Patsis, Georgios A1 - Verhelst, Werner A1 - Alberto Sanna A1 - Tony Belpaeme AB - We describe the social characteristics of a robot developed to support children with Type 1 Diabetes Mellitus (T1DM) in the process of education and care. We evaluated the perception of the robot at a summer camp where diabetic children aged 10-14 experienced the robot in group interactions. Children in the intervention condition additionally interacted with it also individually, in one-to-one sessions featuring several game-like activities. These children perceived the robot significantly more as a friend than those in the control group. They also readily engaged with it in dialogues about their habits related to healthy lifestyle as well as personal experiences concerning diabetes. This indicates that the one-on-one interactions added a special quality to the relationship of the children with the robot. JF - Proc. New Friends 2015 CY - Almere, The Netherlands UR - https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf N1 - Download full proceedings (PDF) ER - TY - CONF T1 - Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions T2 - Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) Y1 - 2014 A1 - Wang, Weiyi A1 - Athanasopoulos, Georgios A1 - Yilmazyildiz, Selma A1 - Patsis, Georgios A1 - Valentin Enescu A1 - Hichem Sahli A1 - Verhelst, Werner A1 - Antoine Hiolle A1 - Lewis, Matthew A1 - Lola Cañamero AB - 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. JF - Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) PB - ICSA CY - Singapore UR - https://www.isca-speech.org/archive/wocci_2014/wc14_051.html N1 - Download (Open Access) ER - TY - CONF T1 - SimianWorld – A Study of Social Organisation Using an Artificial Life Model T2 - Advances in Artificial Life, ECAL 2013 Y1 - 2013 A1 - Sue Attwood A1 - Lola Cañamero A1 - René te Boekhorst ED - Pietro Liò ED - Orazio Miglino ED - Giuseppe Nicosia ED - Stefano Nolfi ED - Mario Pavone AB - In studies of social behaviour it is commonly assumed that individual complexity is the origin of intricate social interactions. In primates for example, social complexity is attributed to their intelligence and it is argued by many that the cognitive capacity of primates are especially manifest in the way they regulate their social relationships. Whereas the complex societies of non-human primates are considered to be as a direct result of their cognitive abilities this assumption is not made about social insects. In the absence of certain cognitive abilities their complex societies and structurally sophisticated nests are thought to arise from self-organisation. Since it is unlikely that cognitive capacities are all-or-nothing, usually integrating a range of mechanisms, it is possible that different species use similar cognitive mechanisms resulting in different behavioural outcomes. JF - Advances in Artificial Life, ECAL 2013 PB - MIT Press CY - Taormina, Italy SN - 9780262317092 UR - https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch090 N1 - Download (Open Access) ER - TY - JOUR T1 - Multimodal Child-Robot Interaction: Building Social Bonds JF - Journal of Human-Robot Interaction Y1 - 2012 A1 - Tony Belpaeme A1 - Paul E. Baxter A1 - Robin Read A1 - Rachel Wood A1 - Cuayáhuitl, Heriberto A1 - Kiefer, Bernd A1 - Racioppa, Stefania A1 - Kruijff-Korbayová, Ivana A1 - Athanasopoulos, Georgios A1 - Valentin Enescu A1 - Rosemarijn Looije A1 - Mark A. Neerincx A1 - Yiannis Demiris A1 - Raquel Ros-Espinoza A1 - Aryel Beck A1 - Lola Cañamero A1 - Lewis, Matthew A1 - Baroni, Ilaria A1 - Nalin, Marco A1 - Cosi, Piero A1 - Giulio Paci A1 - Tesser, Fabio A1 - Sommavilla, Giacomo A1 - Remi Humbert AB - 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 “in the wild.” 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. VL - 1 UR - https://dl.acm.org/doi/10.5555/3109688.3109691 IS - 2 N1 - Download (Open Access) ER - TY - CHAP T1 - Emotion et cognition: les robots comme outils et modèles T2 - Systèmes d'interaction émotionnelle Y1 - 2010 A1 - Lola Cañamero A1 - Philippe Gaussier A1 - C Hasson A1 - Antoine Hiolle ED - Catherine Pelachaud JF - Systèmes d'interaction émotionnelle PB - Lavoisier Hermes Science CY - Paris, France SN - 978-2-7462-2115-4 ER - TY - CONF T1 - Evolving Morphological and Behavioral Diversity Without Predefined Behavior Primitives T2 - Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems Y1 - 2008 A1 - Pichler, Peter-Paul A1 - Lola Cañamero ED - Seth Bullock ED - Jason Noble ED - Richard A. Watson ED - Mark A Bedau AB - 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 ‘behavior primitives’ 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. JF - Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems PB - MIT Press CY - Winchester, UK SN - 978-0-262-75017-2 UR - https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262287196chap62.pdf ER - TY - CHAP T1 - Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics T2 - Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior Y1 - 2007 A1 - Arnaud J Blanchard A1 - Lola Cañamero ED - Martin V Butz ED - Olivier Sigaud ED - Giovanni Pezzulo ED - Gianluca Baldassarre AB - This paper presents the first basic principles, implementation and experimental results of what could be regarded as a new approach to reinforcement learning, where agents—physical robots interacting with objects and other agents in the real world—can learn to anticipate rewards using their sensory inputs. Our approach does not need discretization, notion of events, or classification, and instead of learning rewards for the different possible actions of an agent in all the situations, we propose to make agents learn only the main situations worth avoiding and reaching. However, the main focus of our work is not reinforcement learning as such, but modeling cognitive development on a small autonomous robot interacting with an “adult” caretaker, typically a human, in the real world; the control architecture follows a Perception-Action approach incorporating a basic homeostatic principle. This interaction occurs in very close proximity, uses very coarse and limited sensory-motor capabilities, and affects the “well-being” and affective state of the robot. The type of anticipatory behavior we are concerned with in this context relates to both sensory and reward anticipation. We have applied and tested our model on a real robot. JF - Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior T3 - Lecture Notes in Artificial Intelligence PB - Springer CY - Berlin, Heidelberg VL - 4520 SN - 978-3-540-74261-6 UR - https://www.springer.com/gp/book/9783540742616 ER - TY - CONF T1 - Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation T2 - Proc. 17th International Conference on Artificial Neural Networks (ICANN 2007), Part II Y1 - 2007 A1 - Parussel, Karla A1 - Lola Cañamero ED - de Sá, Joaquim Marques ED - Alexandre, Luís A. ED - Duch, Włodzisław ED - Mandic, Danilo AB - Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new courses of action, as seems to be the case in positive emotions, or exploitation of known possibilities, as in negative emotions such as predatory fear. We use neural networks of spiking leaky integrate-and-fire neurons acting as minimal disturbance systems, and test them with continuous actions. The networks have to balance the activations of all their output neurons concurrently. We have found that having the middle layer modulate the output layer helps balance the activations of the output neurons. A second discovery is that when the network is modulated in this way, it performs better at tasks requiring the exploitation of actions that are found to be rewarding. This is complementary to previous findings where having the input layer modulate the middle layer biases the network towards exploration of alternative actions. We conclude that a network can be biased towards either exploration of exploitation depending on which layers are being modulated. JF - Proc. 17th International Conference on Artificial Neural Networks (ICANN 2007), Part II T3 - LNCS PB - Springer Berlin Heidelberg CY - Porto, Portugal VL - 4669 SN - 978-3-540-74695-9 UR - https://link.springer.com/chapter/10.1007/978-3-540-74695-9_91 ER - TY - CONF T1 - A Bottom-Up Investigation of Emotional Modulation in Competitive Scenarios T2 - Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) Y1 - 2007 A1 - Lola Cañamero A1 - Avila-García, Orlando ED - Ana C R Paiva ED - Rui Prada ED - Rosalind W Picard AB - In this paper, we take an incremental, bottom-up approach to investigate plausible mechanisms underlying emotional modulation of behavior selection and their adaptive value in autonomous robots. We focus in particular on achieving adaptive behavior selection in competitive robotic scenarios through modulation of perception, drawing on the notion of biological hormones. We discuss results from testing our architectures in two different competitive robotic scenarios. JF - Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) T3 - Lecture Notes in Computer Science PB - Springer Berlin Heidelberg CY - Lisbon, Portugal VL - 4738 SN - 978-3-540-74888-5 ER - TY - CONF T1 - Developing Sensorimotor Associations Through Attachment Bonds T2 - Proc. 7th International Conference on Epigenetic Robotics (EpiRob 2007) Y1 - 2007 A1 - Antoine Hiolle A1 - Lola Cañamero ED - Luc Berthouze ED - C G Prince ED - M Littman ED - Hideki Kozima ED - Christian Balkenius AB - Attachment bonds and positive affect help cognitive development and social interactions in infants and animals. In this paper we present a neural architecture to enable a robot to develop an attachment bond with a person or an object, and to discover the correct sensorimotor associations to maintain a desired affective state of well-being using a minimum amount of prior knowledge about the possible interactions with this object. We also discuss how our research on attachment bonds could further developmental robotics in the near future. JF - Proc. 7th International Conference on Epigenetic Robotics (EpiRob 2007) T3 - Lund University Cognitive Studies PB - Lund University CY - Piscataway, NJ, USA VL - 134 SN - 91-974741-8-5 UR - https://www.lucs.lu.se/LUCS/135/Hiolle.pdf ER - TY - CONF T1 - An Evolving Ecosystems Approach to Generating Complex Agent Behaviour T2 - Proc. IEEE Symposium on Artificial Life 2007, ALIFE'07 Y1 - 2007 A1 - Pichler, Peter-Paul A1 - Lola Cañamero AB - We propose an evolving ecosystem approach to evolving complex agent behaviour based on the principle of natural selection. The agents start with very limited functional design and morphology and neural controllers are concurrently evolved as functional wholes. The agents are ‘grounded’ in an increasingly complex environment by a complex model metabolism and interaction dynamics. Furthermore, we introduce a novel criterion for evaluating differential reproductive success aimed at maximising evolutionary freedom. We also present first experimental results suggesting that this approach may be conducive to widening the scope of artificial evolution for the generation of agents exhibiting non-trivial behaviours in a complex ecosystem. JF - Proc. IEEE Symposium on Artificial Life 2007, ALIFE'07 PB - IEEE CY - Honolulu, HI SN - 1-4244-0701-X UR - http://ieeexplore.ieee.org/document/4218900/ ER - TY - CONF T1 - Learning to Interact with the Caretaker: A Developmental Approach T2 - Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) Y1 - 2007 A1 - Antoine Hiolle A1 - Lola Cañamero A1 - Arnaud J Blanchard ED - Ana C R Paiva ED - Rui Prada ED - Rosalind W Picard AB - To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachment bonds to humans and use them to build their own model of the world is a promising avenue, not only to improve human-robot interaction and adaptation to the environment, but also as a way to develop further cognitive and emotional capabilities. In this paper we present a neural architecture to enable a robot to develop an attachment bond with a person or an object, and to discover the correct sensorimotor associations to maintain a desired affective state of well-being using a minimum amount of prior knowledge about the possible interactions with this object. JF - Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) T3 - Lecture Notes in Computer Science PB - Springer Berlin Heidelberg CY - Lisbon, Portugal VL - 4738 SN - 978-3-540-74888-5 ER - TY - Generic T1 - Achieving Human-Like Qualities in Interactive Virtual and Physical Humanoids, Special issue of the International Journal of Humanoid Robotics Y1 - 2006 ED - Catherine Pelachaud ED - Lola Cañamero ER - TY - CONF T1 - The Degree of Potential Damage in Agonistic Contests and its Effects on Social Aggression, Territoriality and Display Evolution T2 - Proc. 2005 IEEE Congress on Evolutionary Computation (CEC 2005) Y1 - 2005 A1 - Robert Lowe A1 - Nehaniv, Chrystopher L A1 - Daniel Polani A1 - Lola Cañamero JF - Proc. 2005 IEEE Congress on Evolutionary Computation (CEC 2005) PB - IEEE CY - Edinburgh, Scotland SN - 0-7803-9363-5 ER - TY - CONF T1 - Ecological Integration of Affordances and Drives for Behaviour Selection T2 - Proc. IJCAI 2005 Workshop on Modeling Natural Action Selection Y1 - 2005 A1 - Cos-Aguilera, Ignasi A1 - Lola Cañamero A1 - Gillian M Hayes A1 - Gillies, Andrew ED - Joanna J Bryson ED - Tony J Prescott ED - Anil K Seth AB - 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’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. JF - Proc. IJCAI 2005 Workshop on Modeling Natural Action Selection CY - Edinburgh, Scotland SN - 1-902956-40-9 ER - TY - CONF T1 - The Evolution of Affect-Related Displays, Recognition and Related Strategies T2 - ALIFE IX: Proceeding of the 9th international conference on the simulation and synthesis of living systems Y1 - 2004 A1 - Robert Lowe A1 - Lola Cañamero A1 - Nehaniv, Chrystopher L A1 - Daniel Polani ED - Jordan Pollack ED - Mark A Bedau ED - Phil Husbands ED - Takashi Ikegami ED - Richard A. Watson AB - 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. JF - ALIFE IX: Proceeding of the 9th international conference on the simulation and synthesis of living systems PB - MIT Press SN - 9780262661836 ER - TY - CONF T1 - Strategies in the Evolution of Affect Related Displays and Recognition T2 - The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 Y1 - 2004 A1 - Robert Lowe A1 - Lola Cañamero A1 - Nehaniv, Chrystopher L A1 - Daniel Polani ED - Harald Schaub ED - Frank Detje ED - Ulrike Brüggermann AB - A more realistic alternative to the game theoretic approach to measuring the behavioural success of animal display can be represented by affect related expression and perception The current paper investigates the ways in which agents can use evolved affect related displays to manipulate the behaviour of affect perceiving rival agents to their survival advantage. JF - The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 PB - IOS Press CY - Bamberg, Germany ER - TY - CHAP T1 - Designing emotions for activity selection in autonomous agents T2 - Emotions in Humans and Artifacts Y1 - 2003 A1 - Cañamero, Lola D ED - Robert Trappl ED - Paolo Petta ED - Sabine Payr AB - This chapter advocates a "bottom-up" philosophy for the design of emotional systems for autonomous agents that is guided by functional concerns and considers the particular case of designing emotions as mechanisms for action selection. The concrete realization of these ideas implies that the design process must start with an analysis of the requirements that the features of the environment, the characteristics of the action-selection task, and the agent architecture impose on the emotional system. This is particularly important if we see emotions as mechanisms that aim at modifying or maintaining the relation of the agent with its (external and internal) environment (rather than modifying the environment itself) in order to preserve the agent's goals. Emotions can then be selected and designed according to the roles they play with respect to this relation. JF - Emotions in Humans and Artifacts PB - MIT Press SN - 9780262201421 ER - TY - CONF T1 - Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms T2 - Artificial Life VIII: Proceedings of the Eighth International Conference on Artificial Life Y1 - 2002 A1 - Nehaniv, Chrystopher L A1 - Daniel Polani A1 - Kerstin Dautenhahn A1 - René te Boekhorst A1 - Lola Cañamero ED - Russell Standish ED - Mark A Bedau ED - Hussein A Abbass AB - We survey and outline how an agent-centered, information-theoretic approach to meaningful information extending classical Shannon information theory by means of utility measures relevant for the goals of particular agents can be applied to sensor evolution for real and constructed organisms. Furthermore, we discuss the relationship of this approach to the programme of freeing artificial life and robotic systems from reactivity, by describing useful types of information with broader temporal horizon, for signaling, communication, affective grounding, two-process learning, individual learning, imitation and social learning, and episodic experiential information (memories, narrative, and culturally transmitted information). JF - Artificial Life VIII: Proceedings of the Eighth International Conference on Artificial Life PB - MIT Press CY - Sydney, Australia SN - 9780262692816 ER - TY - JOUR T1 - Emotions and Adaptation in Autonomous Agents: A Design Perspective JF - Cybernetics and Systems: An International Journal Y1 - 2001 A1 - Cañamero, Lola D ED - Cañamero, Lola D ED - Paolo Petta AB - Why would we want to endow artificial autonomous agents with emotions? The main answer to this question seems to rely on what has been called the functional view of emotions, arising from (analytic) studies of natural systems. In this paper, I examine to what extent this hypothesis can be applied to the (synthetic) investigation of artificial emotions and what are its implications for the design of emotional agents, the main approaches that can be appropriately used to model emotions in autonomous agents, and why situated autonomous agents provide a good framework to study the relation between emotion and adaptation. PB - Taylor & Francis VL - 32 UR - http://www.tandfonline.com/doi/abs/10.1080/01969720120250 IS - 5 ER - TY - Generic T1 - Grounding Emotions in Adaptive Systems. Volume I Y1 - 2001 ED - Cañamero, Lola D ED - Paolo Petta JF - Special Issue of Cybernetics and Systems: An International Journal PB - Taylor & Francis VL - 32 UR - http://www.tandfonline.com/toc/ucbs20/32/5 IS - 5 ER - TY - Generic T1 - Grounding Emotions in Adaptive Systems. Volume II Y1 - 2001 ED - Cañamero, Lola D ED - Paolo Petta JF - Special Issue of Cybernetics and Systems: An International Journal PB - Taylor & Francis VL - 32 UR - http://www.tandfonline.com/toc/ucbs20/32/6 IS - 6 ER - TY - Generic T1 - Grounding Emotions in Adaptive Systems. Papers of the workshop held during the Fifth International Conference of The Society for Adaptive Behavior (SAB'98) Y1 - 1998 ED - D Cañamero ED - Chisato Numaoka ED - Paolo Petta CY - University of Zurich, Switzerland UR - http://www.ofai.at/~paolo.petta/conf/sab98/sab98ws.html ER -