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Graduate School of Science and Engineering
Information and Computer Science

Information Systems Laboratory

Developing genuine systems which are genuinely useful

Staff

Shigeo KANEDA [Professor]

Shigeo KANEDA
[Professor]
Acceptable course
Master's degree course
Doctoral degree course
Telephone : +81-774-65-6976
skaneda@mail.doshisha.ac.jp
Office : KC-316
Database of Researchers


Hirohide HAGA [Professor]

Hirohide HAGA
[Professor]
Acceptable course
Master's degree course
Doctoral degree course
Telephone : +81-774-65-6978
hhaga@mail.doshisha.ac.jp
Office : KC-318
Database of Researchers

Research Topics

  • Multi-agent simulations
  • Application of the blockchain technology as a highly reliable and secure database

Research Contents

Engineering is different from science in that it cannot be considered separately from society. In this laboratory, we are searching for answers to the question of what is necessary for society, without losing the perspective of "society."

In order to grasp the needs of society, we can't keep ourselves shut away in a university. In this laboratory we are actively collaborating with organizations and groups outside of academia.

Our aims are to solve real world problems, so we are developing and researching systems to specifically solve those practical issues. Through the creation of useful things at these sites and having our students experience these processes, we hope to cultivate their insight as engineers. However, if we just stopped there, this wouldn't be academic research. We can contribute to the accumulation of academic knowledge by resolving these individual issues, discovering the universality that hides inside them, and formulating this.

We welcome people who are willing to involve themselves in hands-on research, who can proactively challenge the unknown, and who don't fear failure. Universities are not a place to wait for things to be given to you. For example, you can do nothing with a "didn't learn that, don't know, so I won't do it" attitude. Our research is an action that basically keeps opening up paths into unknown areas. Therefore, put in an extreme way, you can say that everything "hasn't been learned yet and is unknown." Therefore, research is fundamentally a progression of failures. However, by the accumulation of learning from individual failures and using that for the next research, you can achieve a 1 success after 99 failures. Like in our laboratory, for types of research where we go out into the field, if we don't deeply commit to our specific field, we won't be able to create anything genuinely useful. At the same time, it's also important not to forget your "foundation" as an IT engineer. In other words, you don't just stay cooped up in the IT realm, you go out into the field and run into problems, you generalize and abstract issues from what you find there, and sublimate it up to a methodology in the IT field, and you must keep on maintaining that kind of spirit.

Our major research fields are listed below.
<1> Multi-agent simulation (MAS) research:
In MAS, execution subjects called agents mutually interact, and through the process of changes in their statuses, you can view in what way a macro (artificial society) as the micro (agent) aggregate changes its structure. The analysis of this micro (agent) and macro (artificial society) loop (Micro-Macro Loop) is one of the central issues of MAS. People are normally interested in the effect (emergence) from micro to macro, but in our laboratory, we are conversely aware of the problem; "what kind of interactions at the micro level are necessary to make the desired macro phenomena emerge?" For this issue, the major issues are developing and implementing simulation models in the field of ITS (Intelligent Transportation System) and discovering dominant factors from there. The simulation of the ITS is only one example of the simulation of social behavior. Another topic of our research includes the electoral system of Japanese Diet member. More examples such as the direct computation of physical phenomenon such as heat transfer and wave propagation can be simulated by MAS. MAS is a widely applicable general-purpose methods. We will investigate wide range of application fields by using this technology.
 img1
<2> Application of the blockchain technology as a highly reliable and secure database:
Blockchain is one of the most up-to-date technology. Crypt-currency such as Bitcoin is one of the most famous applications of blockchain technology. Some people often confuse blockchain technology with crypt-currency. But the latter is just a specific application of the former. We consider the blockchain technology as a highly reliable, secure database technology. A blockchain stores a growing set of records, each of which describes some timestamped peer exchanges/transactions, stored in chronological order.
We will consider the blockchain technology as "NOT’’ the crypt-currency ’’BUT" the highly-reliable database. Based on this consideration, we will develop various kinds of applications.
 img2

Conceptual illustration of blockchain.

Keywords

  • Multi-agent
  • Blockchain technology