An Emergent Framework For Self-Motivation In Developmental Robotics
Proceedings Of The 2004 International Conference On Development And Learning
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.
UCSD Institute For Neural Computation
J. Triesch and T. Jebara
3rd International Conference On Development And Learning
October 20-22, 2004
La Jolla, CA
J. Marshall, D. Blank, and Lisa A. Meeden.
"An Emergent Framework For Self-Motivation In Developmental Robotics".
Proceedings Of The 2004 International Conference On Development And Learning.