Massive Data Flows - Self-organization of Energy, Material, and Information Flows

Takashi Ikegami, Mizuki Oka

2014

Abstract

As opposed to “Big Data” as a buzz word, we attempt to find a new pattern or structure generated by selforganization in the flow of the massive data. We call this approach Massive Data Flows (MDF). Rather than making use of “Big Data”, we are interested in the new phenomena and theory that allows us to deal with the data without losing the autonomy, complexity, dynamics and structure that the data itself has. MDF is a generic term used to identify a new kind of system dynamics: self-organization in complex open environments. Composed of many interacting heterogeneous elements,MDF systems exhibit self-referential, self-modifying, and self-sustaining dynamics, that can enable door-opening innovation. While the web may be the best example of an MDF system, the concept is generic to natural/artificial systems such as brains, cells, markets and ecosystems. In this paper, we exemplify five systems; the default mode network and the excitability of the web, the autonomous sensor network, chemical oil droplets, and court and cave computation with a many-core system as potential MDF systems.

Paper Citation

in Harvard Style

Ikegami T. and Oka M. (2014). Massive Data Flows - Self-organization of Energy, Material, and Information Flows . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 237-242. DOI: 10.5220/0004907102370242

in Bibtex Style

@conference{icaart14,
author={Takashi Ikegami and Mizuki Oka},
title={Massive Data Flows - Self-organization of Energy, Material, and Information Flows},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={237-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004907102370242},
isbn={978-989-758-016-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Massive Data Flows - Self-organization of Energy, Material, and Information Flows
SN - 978-989-758-016-1
AU - Ikegami T.
AU - Oka M.
PY - 2014
SP - 237
EP - 242
DO - 10.5220/0004907102370242