The Smart Systems and Services Innovative Professional Education (Smart SE) program is a certification program developed as part of the education network for the Practical information Technologies (enPiT-Pro) project, which is funded by the Japan Ministry of Education, Culture, Sports, Science and Technology. The Smart SE program provides industry professionals working in fields related to information and communication technology (ICT) with additional training and education in smart systems and services that utilize various technologies such as IoT, Cloud, Big Data, and Artificial Intelligence (AI) for businesses. Here, we illustrate its purpose, curriculum and features to respond to the needs of industrial professional education.

The authors' group is developing an ICT-based system, called the smart voice messaging system, that assists working staff in cooperation, knowledge sharing, and recording observations. As an operation scheme for the system, we proposed the concept of information supervisory control (ISC) in our previous papers. In this scheme, there is a central commander, called the information supervisor, that provides a group of persons with appropriate information at an appropriate timing. In this paper, we show a formal model that simulates human decision making under ISC. The effectiveness of the model is validated by computer simulation.

This paper provides a game theoretical characterization of information supervisory control problems. Information supervisory control deals with indirect control of human behavior by controlling information distribution. For an arbitrary game, we consider an agent outside the game called a supervisor. It can provide the players with information about the game, which results in change in their information structures and hence possible outcomes. The supervisor's controllability is defined as its ability to achieve the players' behaviors as intended. We present a general model and then analyze its particular class which we call state-dependent team collaborations. We discuss the possibility of information supervisor as a decision support system in such situations.

In 2010, JST/RISTEX in Japan started a new R&D program “Service Science, Solutions and Foundation Integrated Research Program”. The authors are engaged in a research project “Innovation for Service Space Communication by Voice Tweets in Nursing and Caring” selected by this program, and are developing a stress-free information assisting system based on smart voice messaging. By providing voice messaging environment optimized for current situation of nurses, the system helps nurses in their cooperation, knowledge sharing, and making work records, and as a result the system reduces various kinds of stresses associated with their work. To estimate the current situation of nurses, it is important to have detailed process models that describe working schedules and how they behave in various situations. Moreover, computer simulation based on the process models is useful for quantitative evaluation of the system. In this paper, we first analyze complex processes in nursing and caregiving services, and then propose a modeling architecture. An implementation based on object-oriented Petri nets is also presented.

The paper describes an application of artificial intelligence technology to the implementation of a rapid prototyping method in object-oriented performance design (OOPD) for real-time systems. OOPD consists of two prototyping phases for real-time systems. Each of these phases consists of three steps: prototype construction, prototype execution, and prototype evaluation. We present artificial intelligence based methods and tools to be applied to the individual steps. In the prototype construction step, a rapid construction mechanism using reusable software components is implemented based on planning. In the prototype execution step, a hybrid inference mechanism is used to execute the constructed prototype described in declarative knowledge representation. MENDEL, which is a Prolog based concurrent object-oriented language, can be used as a prototype construction tool and a prototype execution tool. In the prototype evaluation step, an expert system which is based on qualitative reasoning is implemented to detect and diagnose bottlenecks and generate an improvement plan for them.>