Agent and Multi-Agent Systems: Technologies and Applications. Proceedings of the 9th International Conference KES-AMSTA 2015 Sorrento, Italy, June 2015, Springer Series on Smart Innovation, Systems and Technologies, Volume 38. Springer International Publishing, 2015.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought.
The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business andthe humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions.
High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.
Knowledge transfer in IT is challenging due to a number of factors, including cultural issues, organization maturity level, and mentality. However, the root cause of these key factors is human nature. The paper describes early steps and findings of the knowledge transfer from world-renowned Carnegie Mellon University to a brand new Russian startup, Innopolis. The Innopolis City will integrate experience of academicians, researchers and practitioners. Innopolis will be a self-sufficient ecosystem with a kindergarten, STEM school, IT university and IT park. The university is going to be a unique project, since it there are no pure IT universities in Russia. Successful knowledge transfer for the new university is challenging due to a number of human-related factors. The focus of the paper is to detect and manage the key factors, which may help or hinder knowledge transfer. The paper contains author’s findings, which may differ from the official Innopolis University position.
Managing development of large and complex software systems is a key problem in software engineering discipline. So, the issues related to software-and-hardware system development, often referred to as systems of systems, tend to become even more essential and critical in the enterprise context. The paper discusses general architecture patterns for such complex systems, and provides instances for particular industries, such as oil-and-gas and nuclear power production. Anthropic-oriented issues of the mission-critical system components are discussed.