Skip to main content
Article thumbnail
Location of Repository

Intelligent Adaptive Curiosity: a source of Self-Development

By Pierre-Yves Oudeyer

Abstract

This paper presents the mechanism of Intelligent Adaptive Curiosity. This is a drive which pushes the robot towards situations in which it maximizes its learning progress. It makes the robot focus on situations which are neither too predictable nor too unpredictable. This mechanism is a source of self-development for the robot: the complexity of its activity autonomously increases. Indeed, we show that it first spends time in situations which are easy to learn, then shifts progressively its attention to situations of increasing difficulty, avoiding situations in which nothing can be learnt

Topics: Machine Learning, Artificial Intelligence, Robotics
Publisher: Lund University Cognitive Studies
Year: 2004
OAI identifier: oai:cogprints.org:4144
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://cogprints.org/4144/1/ou... (external link)
  • http://cogprints.org/4144/ (external link)
  • Suggested articles

    Citations

    1. (1994). Building brains for bodies. Autonomous Robots,
    2. (1991). Curious Model-Building Control Systems, in
    3. (2003). Developmental learning model for joint attention.
    4. (1993). Learning and development in neural networks: The importance of starting small.
    5. (2000). Modeling development and learning in autonomous devices.
    6. (2003). Motivational principles for visual know-how development,
    7. (1996). Reinforcement Learning: A Survey,

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.