%0 Conference Paper %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %D 2007 %T A Bottom-Up Investigation of Emotional Modulation in Competitive Scenarios %A Lola Cañamero %A Avila-García, Orlando %E Ana C R Paiva %E Rui Prada %E Rosalind W Picard %X 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. %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %S Lecture Notes in Computer Science %I Springer Berlin Heidelberg %C Lisbon, Portugal %V 4738 %P 398–409 %8 09/2007 %@ 978-3-540-74888-5 %G eng %R 10.1007/978-3-540-74889-2_35 %0 Conference Paper %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %D 2007 %T Learning to Interact with the Caretaker: A Developmental Approach %A Antoine Hiolle %A Lola Cañamero %A Arnaud J Blanchard %E Ana C R Paiva %E Rui Prada %E Rosalind W Picard %X 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. %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %S Lecture Notes in Computer Science %I Springer Berlin Heidelberg %C Lisbon, Portugal %V 4738 %P 422–433 %8 09/2007 %@ 978-3-540-74888-5 %G eng %R 10.1007/978-3-540-74889-2_37