Authors:
Takashi Ikegami
1
and
Mizuki Oka
2
Affiliations:
1
The University of Tokyo, Japan
;
2
University of Tsukuba, Japan
Keyword(s):
Massive Data Flows, Self-organization, Artificial Life, Complex Systems, Web.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Cognitive Robotics
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Mobile Agents
;
Multi-Agent Systems
;
Robotics and Automation
;
Self Organizing Systems
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Web Intelligence
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, che
mical oil droplets, and court and cave computation with a many-core
system as potential MDF systems.
(More)