=Paper=
{{Paper
|id=Vol-2068/symcollab1
|storemode=property
|title=An Exploration of the Principle of Emerging Interactions in Spatiotemporal Diversity
|pdfUrl=https://ceur-ws.org/Vol-2068/symcollab1.pdf
|volume=Vol-2068
|authors=Ichiro Tsuda,Minoru Asada,Yuji Kawai,Mitsuru Kikuchi,Ikki Matsuda
|dblpUrl=https://dblp.org/rec/conf/iui/TsudaAKKM18
}}
==An Exploration of the Principle of Emerging Interactions in Spatiotemporal Diversity==
https://ceur-ws.org/Vol-2068/symcollab1.pdf
An exploration of the principle of emerging interactions in
spatiotemporal diversity
Ichiro Tsuda Minoru Asada Yuji Kawai
Chubu University Osaka University Osaka University
Nagoya, Japan Suita, Japan Suita, Japan
tsuda@isc.chubu.ac.jp asada@ams.eng.osaka-u.ac.jp kawai@ams.eng.osaka-u.ac.jp
Mitsuru Kikuchi Ikki Matsuda Tatsuya Kameda
Kanazawa University Chubu University The University of Tokyo
Kanazawa, Japan Nagoya, Japan Tokyo, Japan
mitsuruk@med.kanazawa- ikki.matsuda@gmail.com tatsuyakameda@gmail.com
u.ac.jp
ABSTRACT structure occurs, visualization of the process of functional
We aim to construct an artificial system that produces differentiation as a result, and clarify the mathematical
functional differentiation via interactions with complex structure of the principle of interaction emergence. We will
environment in order to adapt itself quickly to the verify and strengthen the principle by applying this principle
environment. For this purpose, we develop a principle of to three different interaction levels between brain regions,
self-organization with constraints which produces functional intra and inter individuals and intra and inter groups.
differentiation, and explore collective intelligence in humans
and non-human primates. We conduct the research via
analyses of interactions between brain areas, individuals and
groups, respectively. The research results are expected to
contribute to the development of order-made medical
treatments, the design of interacting robots, in particular,
with humans, and the creation of new format of community
based on collective intelligence.
Author Keywords
Functional differentiation; complex environment; a principle
of self-organization; constraints; collective intelligence;
humans and non-human primates; interactions between brain
areas, individuals and groups.
ACM Classification Keywords
H.5.3 Group and Organization Interfaces.
INTRODUCTION
As shown in Figure 1, our project consists of five teams: the Figure 1: Team structure of the project on an exploration of
emergence principle team (Tsuda), the inter brain regions the principle of emerging interactions in spatiotemporal
and robot team (Kawai), the intra/inter individuals team diversity
(Kikuchi), the intra/inter groups team (Kameda), and the
INTER BRAIN REGIONS AND ROBOT TEAM (KAWAI G)
inter-individuals/groups team (Matsuda).
We cover the interaction between the brain and the
EMERGENCE PRINCIPLE TEAM (TSUDA G) environment as a typical example. We show that neural
On We propose the principle of interaction emergence and network structure is treated as interaction between regions of
clarifies its information structure. Express the target system the brain and functional differentiation is promoted based on
as a network and confirm the dynamic transition of the the principle of interaction emergence. The network structure
network structure based on the norm of propagation to be constructed and its change are the foundation of various
information amount maximization among nodes. By interactions.
introducing various constraints, optimization of the network
INTRA/INTER INDIVIDUALS TEAM (KIKUCHI G)
© 2018. Copyright for the individual papers remains with the authors. We observe the human brain interaction using the
Copying permitted for private and academic purposes. hyperscanning MEG system. In particular, we focused on
SymCollab '18, March 11, Tokyo, Japan. comparison between autistic spectrum children and their
parents, and typical development children and their parents,
tried to extract brain activity patterns unique to autistic
spectrum children, and we will make it clear the difference
in functional differentiation by examining the difference
between functionalized networks of brain regions of typical
development children and those of autistic spectrum children.
Based on the obtained findings, we will explore the path to
diagnosis and care.
INTRA/INTER GROUPS TEAM (KAMEDA G)
The attempts to model various interactions among groups,
with human group as a unit. If it is on the Web, incorporate
a virtual agent to promote the emergence of collective action.
By setting cooperative/competitive tasks and applying the
above principle model, dynamic change of group creation
and division is regarded as group functional differentiation
and the process is clarified. In experiments in real
environments, we also clarify the dynamic process of group
dynamics considering physical constraints of individuals. By
doing this, guidelines for group behavior design at the time
of disaster etc. are acquired.
INTER-INDIVIDUALS/GROUPS TEAM (MATSUDA G)
Please We observe social interactions among individuals and
between groups in captive and free-ranging non-human
primates, focusing on their multi-level social system that is
one of the most complex primate society, in which two or
more levels of organization are recognizable. We attempt
modeling by applying the principle of interaction emergence,
and aims to strengthen the demonstration of principle. By
revealing the differences due to the different levels or species
at the same level, the depth and the capability in representing
the divergence of the principle of interaction emergence will
be made clear. Applying this, we can propose a technique to
design an environment that encourages the better social
structure and to optimaize human behaviors. Throughout the
topic data analysis that captures algebraically the phase
structure embedded in the data is conducted by the emergent
principle team (Tsuda G).
With the above team structure, we clarify the emergent
principle of interaction between brain regions, individuals,
and groups embedded in a complex networked environment.
By clarifying the mechanism of differentiation, we develop
a method to optimize human behavior in a networked society.
ACKNOWLEDGMENTS
This work is supported by the scientific funds CREST,
project ID:17941861, grant number JPMJCR17A4 from JST.