AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES

Christoph Schommer

Abstract

This paper introduces in extracts a bio-inspired model that understands graphs as artificial chemical constructs. The main objective is to identify this model as an autonomous and adaptive system that performs internal tasks, for example a communication with its environment. The model itself focus on artificial atomicity of nodes, artificial molecular connections in between, and functional proteins, which are self-concentrated constructs. The model implicates a solid fundament, but fosters an artificial vitality through catalysts: these merge attacked atomic nodes – in case of common “interests” (inside the molecular model) – to functional proteins and therefore consequently contribute to a vivid shape of communities. As an application example, the theoretical model is clarified with bibliographic entries to form bibliographic communities dynamically while having a bibliographic stream entries as input.

References

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Paper Citation


in Harvard Style

Schommer C. (2009). AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 219-222. DOI: 10.5220/0002326902190222


in Bibtex Style

@conference{kdir09,
author={Christoph Schommer},
title={AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={219-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002326902190222},
isbn={978-989-674-011-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES
SN - 978-989-674-011-5
AU - Schommer C.
PY - 2009
SP - 219
EP - 222
DO - 10.5220/0002326902190222