Research
Professor Rzevski's research interests are in the broad field of Information Society. His work is based on the assumption that due to the combined effects of a strong pull of emerging global markets and the technology push caused by the rapid development of digital computers and global networks, fundamental changes are expected in the way we design human organisations and systems of artefacts. His effort is directed towards understanding these changes and helping to alleviate implications. Key concepts underlying his research include complexity, change, emergence, information, knowledge, natural and artificial intelligence, multi-agent systems, intellectual capital, knowledge management and virtual organisations.
Some of the research topics that he investigated are listed below:
:: | Information Society
~ Complexity of the Internet-based Global Economy
~ Social, political, economic and cultural consequences of the Internet-based Global Economy
~ Learning in Information Society
~ Understanding and managing Intellectual Capital
~ Understanding the concepts of Knowledge Workers and Knowledge Consumers
~ Understanding and managing creative processes such as design and innovation
~ Ontology and Epistemology in philosophy and computer science
:: | Organisations for Information Society
~ Learning organisations and the theory of complexity
~ The synergy between organisations and organisational information
~ Virtual organisations, including virtual design studios, virtual laboratories and virtual manufacturing systems
:: | Technologies and Systems for Information Society
~ Emergent behaviour of intelligent multi-agent systems as exemplified by swarms of intelligent robots, colonies of co-operating agricultural machinery, fleets of satellites, armadas of spacecraft and intelligent structures with variable geometry
~ Applications of software agents in logistics, e-commerce and knowledge management
~ Emergent intelligence of large-scale multi-agent systems
~ Software genes as a mechanism for growth and self-assembly of computer programs
~ Software reliability, particularly organisational, cultural, social and psychological factors that affect the occurrence of errors in programming
~ Self-organisation in engineering systems
~ Ontology and multi-agent systems
~ Multimedia technology for the Internet-based learning systems