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This book contains expanded versions of research papers presented
at the international sessions of Annual Conference of the Japanese
Society for Artificial Intelligence (JSAI), which was held online
in June 2020. The JSAI annual conferences are considered key events
for our organization, and the international sessions held at these
conferences play a key role for the society in its efforts to share
Japan's research on artificial intelligence with other countries.
In recent years, AI research has proved of great interest to
business people. The event draws both more and more presenters and
attendees every year, including people of diverse backgrounds such
as law and the social sciences, in additional to artificial
intelligence. We are extremely pleased to publish this collection
of papers as the research results of our international sessions.
This book presents selected and extended papers from the largest
conference on artificial intelligence in Japan, which was expanded
into an internationalized event for the first time in 2019: the
33rd Annual Conference of the Japanese Society for Artificial
Intelligence (JSAI 2019), held on June 4-June 7, 2019 at TOKI MESSE
in Niigata, Japan. The book's content has been divided into six
major sections, on (I) knowledge engineering, (II) agents, (III)
education and culture, (IV) natural language processing, (V)
machine learning and data mining, and (VI) cyber physics. Given its
scope, the book offers a valuable reference guide for
professionals, undergraduate and graduate students engaged in
disciplines, fields, technologies, or philosophies relevant to AI,
e.g., computer/data science, robotics, linguistics, and physics,
introducing them to recent advances in this area and discussing the
human society of tomorrow.
Since year 2000, scientists on artificial and natural intelligences
started to study chance discovery - methods for discovering
events/situations that significantly affect decision making.
Partially because the editors Ohsawa and Abe are teaching at
schools of Engineering and of Literature with sharing the interest
in chance discovery, this book reflects interdisciplinary aspects
of progress: First, as an interdisciplinary melting pot of
cognitive science, computational intelligence, data
mining/visualization, collective intelligence, ... etc, chance
discovery came to reach new application domains e.g. health care,
aircraft control, energy plant, management of technologies, product
designs, innovations, marketing, finance etc. Second, basic
technologies and sciences including sensor technologies, medical
sciences, communication technologies etc. joined this field and
interacted with cognitive/computational scientists in workshops on
chance discovery, to obtain breakthroughs by stimulating each
other. Third, "time" came to be introduced explicitly as a
significant variable ruling causalities - background situations
causing chances and chances causing impacts on events and actions
of humans in the future. Readers may urge us to list the fourth,
fifth, sixth, ... but let us stop here and open this book.
Since year 2000, scientists on artificial and natural intelligences
started to study chance discovery - methods for discovering
events/situations that significantly affect decision making.
Partially because the editors Ohsawa and Abe are teaching at
schools of Engineering and of Literature with sharing the interest
in chance discovery, this book reflects interdisciplinary aspects
of progress: First, as an interdisciplinary melting pot of
cognitive science, computational intelligence, data
mining/visualization, collective intelligence, ... etc, chance
discovery came to reach new application domains e.g. health care,
aircraft control, energy plant, management of technologies, product
designs, innovations, marketing, finance etc. Second, basic
technologies and sciences including sensor technologies, medical
sciences, communication technologies etc. joined this field and
interacted with cognitive/computational scientists in workshops on
chance discovery, to obtain breakthroughs by stimulating each
other. Third, "time" came to be introduced explicitly as a
significant variable ruling causalities - background situations
causing chances and chances causing impacts on events and actions
of humans in the future. Readers may urge us to list the fourth,
fifth, sixth, ... but let us stop here and open this book.
This book contains extended versions of research papers presented
at the international sessions at the 35th Annual Conference of the
Japanese Society for Artificial Intelligence (JSAI2021), which was
held online from June 8-11, 2021. The JSAI annual conferences are
considered key events for our organization, and the international
sessions held at these conferences play a key role for the society
in its efforts to share Japan's research on artificial intelligence
with other countries. The topics of the international sessions in
JSAI2021 cover five categories: knowledge engineering, machine
learning, agents, robots and real worlds, and human interface and
education aid. From the papers submitted to those categories,
papers of high quality were selected through the strict reviewing
procedure. As a result, 19 papers are included in this book. From
this book, readers can get an overview of recent Japan's research
on artificial intelligence.
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