‘ˆξ“c‘εŠw—HŠwp‰@@ŠξŠ²—HŠw•”EŒ€‹†‰Θ@ξ•ρ—HŠw‰ΘEκU@›Œ΄Œ€‹†ŽΊ@Sugawara Lab., Waseda Univ.

The Intelligent Software Laboratory

News

Feb. 28, 2021: To International course students (Project Research):
If you are intersted in Project Research in our lab., please email to Professor (sugawara 'at' waseda.jp) to make an appointment for interview (Zoom, e-mail or face-to-face interview)
We will hold our open laboratory using Zoom as follows (Passcode is `AI' in capital letters). Students from the lab will explain about the contents of our research and the atmosphere of the lab.

Lab explanations and questions will be in Japanese, but English will be available in the morning of the 24th. Note that if there are no participants 15 minutes after the start of the session.

Professor Toshiharu Sugawara

The Intelligent Software Laboratory (ISL) explores the theory, development, and analysis of autonomous agents and multi-agent systems (or Distributed Artificial Intelligence) and their applications in various domains, including Internet and/or Web applications and multi-agent simulations. Please note that our laboratory is not engineering oriented and rather focuses on academic and scientific purposes.

Research on multi-agent systems (or Distributed Artificial Intelligence)is one of the active research fields in artificial intelligence (AI). Autonomous agents are intelligent programs that are capable of perceiving local environments and taking appropriate action to move toward their goals based on independent decision-making. An multi-agent system consists of loosely-coupled autonomous, rational agents capable of coordinated/collaborative actions to achieve individual or joint goals in cooperation with other agents. Research activities include a broad range of efforts to develop and apply this type of coordinated actions.

Our research topics include:

  • Distributed Artificial Intelligence
  • Coordination and Cooperation in Multi-Agent Systems
  • Multi-Agent Planning
  • Macnine Learning for Coordinated Activities
  • Negotiation in Massively Multi-agent Systems
  • Effects of organizational and inter-agent network structures
  • Swarm Intelligence
  • Multi-Agent Simulations
  • Coexistence of agents (including people and computer programs)
  • Web Agent Applications

In particular, we have addressed the issues related with large-scale multi-agent systems: Although recent advances in Internet services, sensor networks, pervasive computing, and grid computing exhibit the need for multi-agent systems, they further require more sophisticated multi-agent system technologies for large-scale and busy environments. For example, e-commerce transactions, which frequently appear in the current Internet era, consist of coordinated tasks including interactions among a variety of agents in charge of customer authentication and management, stock management, shipping control, and payment processing. These kinds of tasks simultaneously and frequently occur throughout in the world. In sensor-network applications, agents reside in many sensor and computational devices and, in grid computing, many computational entities should concurrently process the assigned subproblems into which a large computation problem is decomposed. In these applications, many of the tasks should be allocated appropriately to maximize the entire abilities of multi-agent systems, in order to realize efficientcy and high-quality services.

We also think about the coexistence with computer programs that are deployed everywhere in the Internet, smartphone, and often home appliances. They affect each other at many levels of social activities. Taking optimal actions are usually good for individuals (people and porograms), but may not be good from social viewpoints due to excessive/wasteful competition. We believe that socially harmonious coexistence between people and programs will be stronly required in near future.

If you are interested in studing our lab as a master or doctor cource student, please visit this page.

to TOP

 

Japanese
hover