Complex Systems in Knowledge-based Environments: Theory, Models and Applications
Springer Science & Business Media, Jan 17, 2009 - Mathematics - 272 pages
The tremendous growth in the availability of inexpensive computing power and easy availability of computers have generated tremendous interest in the design and imp- mentation of Complex Systems. Computer-based solutions offer great support in the design of Complex Systems. Furthermore, Complex Systems are becoming incre- ingly complex themselves. This research book comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in a Knowledge-based En- ronment. Complex systems are ubiquitous. Examples comprise, but are not limited to System of Systems, Service-oriented Approaches, Agent-based Systems, and Complex Distributed Virtual Systems. These are application domains that require knowledge of engineering and management methods and are beyond the scope of traditional systems. The chapters in this book deal with a selection of topics which range from unc- tainty representation, management and the use of ontological means which support and are large-scale business integration. All contributions were invited and are based on the recognition of the expertise of the contributing authors in the field. By colle- ing these sources together in one volume, the intention was to present a variety of tools to the reader to assist in both study and work. The second intention was to show how the different facets presented in the chapters are complementary and contribute towards this emerging discipline designed to aid in the analysis of complex systems.
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agents algorithm Alignment application approach architecture Artificial Intelligence assumptions Bayesian network behavior chapter CLDR complex systems components Computer concepts Conceptual Interoperability conceptual model conﬁguration constraints context Data Engineering data integration data model data sources database decision deﬁned deﬁnitions described diﬀerent domain engineering dynamic emergent properties entity types example feature diagrams feature model Figure first-order logic function global ontology identify IEEE implementation interactions interface International Conference interoperability Jain knowledge knowledge representation Knowledge-based Environments Knowledge-Based Intelligent layer LCIM Management mapping MEBN logic MFrag microcontroller multi-agent simulation multi-agent systems nodes object operation possible PR-OWL probabilistic ontologies problem product line query random variables RDF Schema relationships represent representation requirements reuse robot schema self-organisation Semantic Web Services sensors spatio-temporal extent specific speciﬁcation Springer SSBN starship structure system engineering theory tion Tolk uncertainty