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 - Why Should You Care? An Arousal-Based Model of Exploratory Behavior for Autonomous Robots T2 - Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems Y1 - 2008 A1 - Antoine Hiolle A1 - Lola Cañamero ED - Seth Bullock ED - Jason Noble ED - Richard A. Watson ED - Mark A Bedau AB - 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. 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/0262287196chap32.pdf ER - TY - CONF T1 - What Emotions are Necessary for HCI? T2 - Human-Computer Interaction: Ergonomics and User Interfaces Vol. 1 Y1 - 1999 A1 - D Cañamero ED - Hans-Jorg Bullinger ED - Jurgen Ziegler JF - Human-Computer Interaction: Ergonomics and User Interfaces Vol. 1 PB - Taylor & Francis CY - Munich, Germany SN - 978-080583391-1 ER -