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  1. Article

    Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction

    This paper discusses the emergence of sensorimotor coordination for ESCHeR, a 4DOF redundant foveated rob ot-head, by interaction with its environment. A feedback-error-learning(FEL)-based distributed control ...

    Luc Berthouze, Yasuo Kuniyoshi in Machine Learning (1998)

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    Article

    Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction

    This paper discusses the emergence of sensorimotor coordination for ESCHeR, a 4DOF redundant foveated robot-head, by interaction with its environment. A feedback-error-learning (FEL)-based distributed control ...

    Luc Berthouze, Yasuo Kuniyoshi in Autonomous Robots (1998)

  3. No Access

    Chapter and Conference Paper

    Understanding Subjectivity: An Interactionist View

    User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monol...

    Nadia Bianchi-Berthouze, Luc Berthouze, Toshikazu Kato in UM99 User Modeling (1999)

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    Chapter and Conference Paper

    Interfacing Agents through Boundaries of Interaction Dynamics

    We propose our scenario towards the first few stages of understanding the basic principles of human-robot interface. A problem that is applicable across many tasks. We view the problem as the structure of coup...

    Yasuo Kuniyoshil, Akihiko Nagakubo, Luc Berthouze, Gordon Cheng in Robotics Research (2000)

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    Chapter

    Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics

    The study of how infants strapped in a Jolly Jumper learn to bounce can help clarify how they explore different ways of exploiting the dynamics of their movements. In this paper, we describe and discuss a set ...

    Max Lungarella, Luc Berthouze in Embodied Artificial Intelligence (2004)

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    Article

    A Neural Model for Context-dependent Sequence Learning

    A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing information from its input and m...

    Luc Berthouze, Adriaan Tijsseling in Neural Processing Letters (2006)

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    Chapter and Conference Paper

    Bifurcation Angles in Ant Foraging Networks: A Trade-Off between Exploration and Exploitation?

    The distribution of bifurcation angles found in ant foraging networks has been shown to give polarity to the networks so that nest-bound ants reaching a bifurcation can choose the appropriate direction. In thi...

    Luc Berthouze, Alexander Lorenzi in From Animals to Animats 10 (2008)

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    Chapter and Conference Paper

    A genetic algorithm-based approach to map** the diversity of networks sharing a given degree distribution and global clustering

    The structure of a network plays a key role in the outcome of dynamical processes operating on it. Two prevalent network descriptors are the degree distribution and the global clustering. However, when generat...

    Peter Overbury, Istvan Z. Kiss, Luc Berthouze in Complex Networks & Their Applications V (2017)

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    Chapter and Conference Paper

    Map** Structural Diversity in Networks Sharing a Given Degree Distribution and Global Clustering: Adaptive Resolution Grid Search Evolution with Diophantine Equation-Based Mutations

    Methods that generate networks sharing a given degree distribution and global clustering can induce changes in structural properties other than that controlled for. Diversity in structural properties, in turn,...

    Peter Overbury, István Z. Kiss in Complex Networks and Their Applications VII (2019)