This book constitutes the refereed proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97, held in Ronneby, Sweden, in May 1997.
MAAMAW'97 is devoted to multi-agent rationality, thus reflecting the fact that there is presently a transition in the multi-agent community from the study of individual rationality to the study of group rationality. The volume presents 15 revised full papers selected from a total of 51 submissions; also included are the abstracts of three invited talks. The volume covers all current issues in multi-agent rationality.

This book constitutes the refereed proceedings of the 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '96, held in Eindhoven, The Netherlands in January 1996.
The concept of agents comprises physical as well as software agents; it emerged at the crossroads of distributed computing, artificial intelligence, and embedded systems. Multi-agent systems are foundational for new models of computing and interaction addressing large-scale open distributed platforms like the World-Wide Web. The 17 revised full papers presented were selected from a total of 51 submissions; they are organized in sections on epistemological and ontological issues, frameworks and architectures, interaction and coordination, emergence, and task-specific analysis.

This volume comprises a selection of the key papers presented at the Eighth European Knowledge Acquisition Workshop (EKAW '94), held in Hoegaarden, Belgium in September 1994.
The book demonstrates that work in the mainstream of knowledge acquisition leads to useful practical results and puts the knowledge acquisition enterprise in a broader theoretical and technological context. The 21 revised full papers are carefully selected key contributions; they address knowledge modelling frameworks, the identification of generic components, methodology aspects, and architectures and applications. The volume opens with a substantial preface by the volume editors surveying the contents.

The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis andengineering, to the design and implementation of knowledge-intensiveinformation systems. The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges. The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis and engineering, to the design and implementation of knowledge-intensive information systems. The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book. CommonKADS makes as much use as possible of the new UML notation standard. Beyond information systems applications, all software engineering and computer systems projects in which knowledge plays an important role stand to benefit from the CommonKADS methodology.