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 -