An Emergent Framework For Self-Motivation In Developmental Robotics

Document Type

Conference Proceeding

Publication Date


Published In

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.

Published By

UCSD Institute For Neural Computation


J. Triesch and T. Jebara


3rd International Conference On Development And Learning

Conference Dates

October 20-22, 2004

Conference Location

La Jolla, CA