Category-Based Intrinsic Motivation

Document Type

Conference Proceeding

Publication Date

2009

Published In

Proceedings Of The Ninth International Conference On Epigenetic Robotics: Modeling Cognitive Development In Robotic Systems

Series Title

Lund University Cognitive Studies

Abstract

A goal of epigenetic robotics is to design a control architecture that implements an ongoing, autonomous developmental process which is unsupervised, unscheduled, and task-independent. The developmental process we are currently exploring contains three essential mechanisms: categorization, prediction, and intrinsic motivation. In this paper we describe a hybrid approach that uses Growing Neural Gas for categorization, neural networks for prediction, and Intelligent Adaptive Curiosity for intrinsic motivation. We apply this system to a physical robot operating in a dynamic visual environment and analyze the types of categories it forms.

Editor(s)

L. Cañamero, P.-Y. Oudeyer, and C. Balkenius

Conference

9th International Conference On Epigenetic Robotics

Conference Dates

November 12-14, 2009

Conference Location

Venice, Italy

Comments

The proceedings for this conference are also freely available in their entirety.

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