Detta är den 9:e internationella sommarskolan som behandlar 'Industrial agents', utformad för att tillhandahålla avancerad utbildning för doktorander och utövare inom metodik och automatiseringsteknik som ska ligga till grund för Industry 4.0. Denna veckolånga intensiva kurs syftar till att främja diskussionen om hur man använder distribuerade system för flera agenter för att designa, utveckla och implementera nästa generation av intelligenta produktionssystem baserat på principerna för cyber-fysiska system.
Kursen ges på engelska!
Please register to the course directly with the organizers and mentioned that you are enrolled on the Produktion2030 graduate school:
The summer course aims to enhance the participants’ knowledge in the field of distributed and multi-agent systems (MAS) applied to industrial environments, particularly providing hands-on knowledge to develop industrial cyber-physical systems (e.g. production systems, smart grids, etc.). The main objectives of the course are:
Participants will be able to gain a range of theoretical and practical skills necessary to develop agent-based applications to develop industrial cyber-physical systems.
Intended learning outcomes
After completion of the course the course participant should be able to
The course provides, through the view of several international experts, different core subjects involved in the design, development and implementation of very intelligent productions systems. Such systems are able, by design, to take autonomous decisions as a reaction to continuously changing production environments where products being produced change frequently and the system can be seamlessly changed to cater for the new production requirements. Products and production equipment are considered individual intelligent units that have a mechanical/physical part and a cyber component (cyber-physical formulation). The cyber part ensures that the system components interpret each other’s actions and needs and behave as a society of intelligent artificial being that can cater for different production disturbances and actively collect data that is further transformed in knowledge used to improve the autonomous response of the system as an whole. Such a vision has lately been put in evidence by several research agendas and in particular the German “Industrie 4.0” that coined the term Industry 4.0. However most of the contributions far precede the existence of I4.0 and all the teachers in the course of a very significant track record in these previous contributions dating back in time more than 10 years.
Participants will attend lecture and tutorials delivered by well-known experts in the field from industry and academia to share their experience of developing and applying agent-based solutions in applied industrial context. The summer course will provide a good opportunity to meet prominent researchers, share best practices and to network with participants that may lead to research collaborations in the future. Please see the scheduling here:
A successful completion of this course will be judged on the following:
Will be provided by the different teachers during the course. Other literature or preparation work such as set-up of software tools will be communicated to the students shortly before the course.
Fee for late drop-out
This course is included in the Produktion2030 program, and it is therefore free of charge for PhD student members of Graduate School Produktion2030. However, in case of drop-out later than 3 weeks before course start, a fee of 1 000 SEK per course credit will be charged the student’s home institution.