Complex Systems in Knowledge-based Environments: Theory, Models and Applications (Studies in Computational Intelligence, 168)

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.

This volume comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in the Knowledge-based Environment. 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. All these are application domains that require knowledge, engineering, and management methods beyond the scope of traditional systems. The chapters in this book deal with a selection of relevant topics, ranging from uncertainty representation and management to the use of ontological means in support of large-scale business integration.

All contributions were invited based on the special recognition of the contributing authors in their field during workshops and symposia. By bringing all these different aspects together in one volume, our intent was first to present a variety of tools to the reader in support of his studies and work, and second to show how the different facets presented in the chapters are complementary contributing towards an emerging discipline to cope with complex systems. The common denominator of all chapters is the use of knowledge-based methods, in particular ontological means. The chapters are categorized into theory contributions and practical applications.

We hope that this volume will help researchers, students, and practitioners in coping with the challenges of integration, operation, and evaluation of complex systems.