An Emergent Framework For Self-Motivation In Developmental Robotics
Document Type
Conference Proceeding
Publication Date
2004
Published In
Proceedings Of The 2004 International Conference On Development And Learning
Abstract
This paper explores a philosophy and connectionist algorithm for creating a long-term, self-motivated developmental robot control system. Self-motivation is viewed as an emergent property arising from two competing pressures: the need to accurately predict the environment while simultaneously wanting to seek out novelty in the environment. These competing internal pressures are designed to drive the system in a manner reminiscent of a co-evolutionary arms race.
Published By
UCSD Institute For Neural Computation
Editor(s)
J. Triesch and T. Jebara
Conference
3rd International Conference On Development And Learning
Conference Dates
October 20-22, 2004
Conference Location
La Jolla, CA
Recommended Citation
J. Marshall, D. Blank, and Lisa A. Meeden.
(2004).
"An Emergent Framework For Self-Motivation In Developmental Robotics".
Proceedings Of The 2004 International Conference On Development And Learning.
104-111.
https://works.swarthmore.edu/fac-comp-sci/87