SIX NECESSARY QUALITIES OF SELF-LEARNING SYSTEMS - A Short Brainstorming

Gabriele Peters

Abstract

In this position paper the broad issue of learning and self-organisation is addressed. I deal with the question how biological and technological information processing systems can autonomously acquire cognitive capabilities only from data available in the environment. In the main part I claim six qualities that are, in my opinion, necessary qualities of self-learning systems. These qualities are (1) hierarchical processing, (2) emergence on all levels of hierarchy, (3) multi-directional information transfer between the levels of hierarchy, (4) generalization from few examples, (5) exploration, and (6) adaptivity. I try to support my considerations by theoretical reflections as well as by an informal introduction of a self-learning system that features these qualities and displays promising behavior in object recognition applications. Although this paper has more the character of a brainstorming the proposed qualities can be regarded as roadmap for problems to be addressed in future research in the field of autonomous learning.

References

  1. Häming, K. and Peters, G. (2010). An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic. In 20th International Conference on Artificial Neural Networks (ICANN 2010), pages 200-203. Springer-Verlag.
  2. Häming, K. and Peters, G. (2011a). A Hybrid Learning System for Object Recognition. In 8th International Conference on Informatics in Control, Automation, and Robotics (ICINCO 2011).
  3. Häming, K. and Peters, G. (2011b). Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables. In International Conference on Neural Computation Theory and Applications (NCTA 2011).
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  6. Leopold, T., Kern-Isberner, G., and Peters, G. (2008b). Combining Reinforcement Learning and Belief Revision - A Learning System for Active Vision. In 19th British Machine Vision Conference (BMVC 2008), pages 473-482.
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Paper Citation


in Harvard Style

Peters G. (2011). SIX NECESSARY QUALITIES OF SELF-LEARNING SYSTEMS - A Short Brainstorming . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 358-364. DOI: 10.5220/0003679003580364


in Bibtex Style

@conference{ncta11,
author={Gabriele Peters},
title={SIX NECESSARY QUALITIES OF SELF-LEARNING SYSTEMS - A Short Brainstorming},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={358-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003679003580364},
isbn={978-989-8425-84-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - SIX NECESSARY QUALITIES OF SELF-LEARNING SYSTEMS - A Short Brainstorming
SN - 978-989-8425-84-3
AU - Peters G.
PY - 2011
SP - 358
EP - 364
DO - 10.5220/0003679003580364