List of workshops
- Eleventh International Workshop on Juris-Informatics JURISIN 2017
- Skill Sciences 2017
- Aritificial Intelligence of and for Business (AI-Biz 2017)
- Logic and Engineering of Natural Language Semantics 14 (LENLS 14)
- The 3rd International Workshop on Argument for Agreement and Assuarance (AAA 2017)
- Second International Workshop on SCIentific DOCument Analysis (SCIDOCA 2017)
- Knowledge Explication in Industry (kNeXI 2017)
- Workshop 1 : Thenth International Workshop on Juris-informatics (JURISIN 2017)
Juris-informatics is a new research area which studies legal issues from the perspective of informatics.
The purpose of this workshop is to discuss both the fundamental and practical issues for juris-informatics among people from the various backgrounds such as law, social science, information and intelligent technology, logic and philosophy, including the conventional “AI and
We solicit unpublished papers on theories, technologies and applications on juris-informatics.
Ken Satoh, National Institute of Informatics
- Workshop 2 : Skill Sciences 2017
Human skills involve well-attuned perception and fine motor control, often accompanied by thoughtful planning. The involvement of body, environment, and tools mediating them makes
the study of skills unique among researches of human intelligence. The symposium invites researchers who investigate human skills and provides them with a place for exchange and
discussion. The study of skills requires various disciplines to collaborate with each other because the value of skills is not determined solely in terms of efficiency, but calls for
consideration of quality. Quality resides in person and often needs to be transferred through apprentice systems. The procedure of validation is strict, but more complex than scientific
activities, where everything needs to be described by referring to data. We are keen to discussing the theoretical foundations of skill science as well as practical and engineering issues in the study.
Tsutomu Fujinami, Japan Advanced Institute of Science and Technology
- Workshop 3 : Artificial Intelligence of and for Business (AI-Biz 2017)
The objective of this workshop is to foster the concepts and techniques of “Business Intelligence (BI).” in Artificial Intelligence. BI should include such cutting-edge techniques as data science, agent-based modelling, complex adaptive systems, and IoT. The application areas include but not limited to business management, finance engineering, service sciences, manufacturing engineering, and so on.
The basic idea of BI would enhance the capabilities of conventional techniques in business domain, however, so far, we have not discussed BI concepts deeply in artificial intelligence literature. We would like to focus on BI topics to the issues of firms and organizations for getting more benefits on interactions with human- and computer- mixed systems.
The main purpose of this workshop is to provide a forum to discuss important research questions and practical challenges in Business Intelligence, Business Informatics, Data Analysis and Agent-based Modelling to exchange latest results, to join efforts in solving the common challenges. It is also to establish an effective communication between researchers and developers involved in the both areas. The workshop will provide opportunities for the participants to exchange new ideas and experiences to establish research or business network and to find global partners for future collaboration.
The topics include but not limited to:
Data Mining, Text Mining and Data Analysis
Empirical Analysis on Managerial Decision Making
Agent-Based Computational Economics & Finance
Agent-Based Game, Serious Game and Business Game
Agent Based Economics
Agent Based Policy Making
Gaming Simulation on Social and Business Problems
Issues and Case Studies on Business and Finance Problems
Collective Intelligence and Human Computation on Social Problems
Participatory Design and Simulation on Social Problems
Simulators for Macroeconomic Policy
Valuation and Asset Pricing
Corporate Governance and Regulation
Discrete Choice Models in Economics and Management Sciences
Emergence and Dynamics of Norms and Conventions
Financial Market models and Auction
Dynamics of Complex, Social and Economic Networks
Complexity and Market Dynamics
Health and Infectious Diseases
Power Market and Consumer Market Analysis
Micro Service Orchestration
IoT, IoE for Business Process Innovation
Multi Dimensional Accounting
Private Finance Initiative
Real World Operating System
Takao Terano, Tokyo Institute of Technology
Setsuya Kurahashi, University of Tsukuba
Hiroshi Takahashi, Keio University
- Workshop 4 : Logic and Engineering of Natural Language Semantics 14 (LENLS 14)
LENLS is an annual international workshop on formal syntax, semantics and pragmatics. We invite submissions on topics in formal syntax, model-theoretic and/or proof-theoretic semantics, computational semantics, game-theoretic/bayesian approaches to pragmatics,
non-classical logic and its relation to natural language, and formal philosophy of language.
Katsuhiko Sano, Graduate School of Letters, Hokkaido University
Daisuke Bekki, Ochanomizu University/National Institute of Informatics
Koji Mineshima, Ochanomizu University
Eric McCready, Aoyama Gakuin University
- Workshop 5 : The 3rd International Workshop on Argument for Agreement and Assurance (AAA 2017)
Argumentation has now become an interdisciplinary research subject receiving much attention from diverse communities including formal logic, informal logic and artificial intelligence. It aims at analysing, evaluating and systematising various aspects of human argument appeared in television, newspapers, WWW, etc. and also artificial arguments constructed from structured knowledge with logical language and inference rules. Their research achievements are widely applicable to various domains such as safety, political, medical and legal domains.
In particular, safety engineering appreciates Toulmin’s argument model, starting from his critical opinion on formal logic, and recent intensive studies of formal argumentation. There is a growing interest in the use of an evidence-based argument often called a safety case, assurance case or dependability case. Nowadays, it is becoming necessary for developing and operating bodies to comply international standards, for system stakeholders to make agreement, for system administrators t o achieve accountability.
Meanwhile, in contrast to Europe, Asia has few workshop to discuss state-of-the-art research activities across safety engineering and argumentation theory.
We have started the first workshop of AAA in 2013, aiming at deepening mutual understanding among researchers/practitioners in these these communities.
Throughout the previous two workshops, the community has steadily growing and interesting results have been reported.
AAA2017 is the third workshop to enhance these aims.
Kazuko Takahashi, Kwansei Gakuin University
Yoshiki Kinoshita, Kanagawa University
Tim Kelly, University of York
Hiroyuki Kido, Sun Yat-sen University
- Workshop 6 : Second International Workshop on SCIentific DOCument Analysis (SCIDOCA 2017)
Recent proliferation of scientific papers and technical documents has
become an obstacle to efficient information acquisition of new information
in various fields. It is almost impossible for individual researchers to
check and read all related documents. Even retrieving relevant documents is
becoming harder and harder. This workshop gathers all the researchers and
experts who are aiming at scientific document analysis from various
perspectives, and invite technical paper presentations and system
demonstrations that cover any aspects of scientific document analysis.
Yuji Matsumoto, Nara Institute of Science and Technology
Hiroshi Noji, Nara Institute of Science and Technology
- Workshop 7 : Knowledge Explication in Industry (kNeXI 2017)
The aim of this workshop is to promote research about improving the skill and knowledge of employees in industry. We focus on industry that knowledge of employees is important to their daily work. Such industry includes elderly care, education, health-promotion services, R & D, construction and small and medium enterprise. Artificial Intelligence has possibility to support their work when the knowledge can be externalized from the employees.
There are, however, some issues to extract the knowledge. First, it is hard to use computational method so called knowledge discovery such as data-mining and natural language processing. There are no Big-data because the employees accumulate their experiences and intuition on their selves. Second, it is hard to use the method of knowledge engineering, which is used to develop expert system around 1980s, because it costs too much that the knowledge engineers continue extracting and managing brand-new knowledge in each industrial field.
This workshop aims to establish and promote new method so-called “Knowledge Explication” which is integrated with conventional knowledge engineering and employee-driven development. Knowledge Explication is defined as the method that the employees describe and structure site-specific knowledge based on common knowledge and discussion among them. Additionally, we also discuss about the acceleration of knowledge discovery based on the structured knowledge.
The scope of this workshop are as follows: methods and technique for measuring industrial fields, concrete method of knowledge explication, information or conceptual model for structuring knowledge, proposal for knowledge usage and case study, and the method to evaluate the improvement of the industrial fields. Any other topics are welcome.
Satoshi Nishimura, National Institute of Advanced Industrial Science and Technology
Takuichi Nishimura, National Institute of Advanced Industrial Science and Technology