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Thisproceedingsvolumeofthe5thAOISWorkshopisanopportunityforlooking back at ?ve years of organizing AOIS workshops. What did we achieve with the AOIS workshop series? Where were we ?ve years ago, where are we now? Did ourthemeimpactontheinformationsystems?eldinthewaythatwehadhoped for? AOIS workshops have taken place in Seattle, Heidelberg, Stockholm, Austin, Montr ́ eal, Interlaken, Toronto, Bologna, Melbourne, and Chicago, always in c- junction with a major conference on either multiagent systems in arti?cial - telligence (AI/MAS) or information systems (IS). We have tried to innovate in holding these workshops as biconference events (each year AOIS held two wo- shop events, one at an AI/MAS conference and one at an IS conference), as well as using the AOIS web site as a medium for communication among researchers. So, certainly, we have reached a wide audience of researchers around the world from both the AI/MAS and IS communities. But did we also manage to build up a dedicated AOIS community? Five years ago, we wrote: “Agent concepts could fundamentally alter the nature of information systems of the future, and how we build them, much like structured analysis, ER modeling, and Object-Orientation has precipitated fundamental changes in IS practice. ” Of course, a period of ?ve years is too short for evaluating the success or failure of a new scienti?c paradigm. But still we may observe that while most IS conferences meanwhile list agents as one of their many preferred topics, agent-orientation is generally not considered to be a fundamental IS paradigm.
"The book presents, analyzes and compares the most significant methodological approaches currently available for the creation of agent-oriented software systems"--Provided by publisher.
Information systems have become the backbone of all kinds of organizations - day. In almost every sector – manufacturing, education, health care, government and businesses large and small – information systems are relied upon for - eryday work, communication, information gathering and decision-making. Yet, the in?exibilities in current technologies and methods have also resulted in poor performance, incompatibilities and obstacles to change. As many organizations are reinventing themselves to meet the challenges of global competition and e-commerce, there is increasing pressure to develop and deploy new technologies that are ?exible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, intentions, etc., all of which need conc- tual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work ?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and ?- ible treatments of complex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design.
Thisproceedingsvolumeofthe5thAOISWorkshopisanopportunityforlooking back at ?ve years of organizing AOIS workshops. What did we achieve with the AOIS workshop series? Where were we ?ve years ago, where are we now? Did ourthemeimpactontheinformationsystems?eldinthewaythatwehadhoped for? AOIS workshops have taken place in Seattle, Heidelberg, Stockholm, Austin, Montr ́ eal, Interlaken, Toronto, Bologna, Melbourne, and Chicago, always in c- junction with a major conference on either multiagent systems in arti?cial - telligence (AI/MAS) or information systems (IS). We have tried to innovate in holding these workshops as biconference events (each year AOIS held two wo- shop events, one at an AI/MAS conference and one at an IS conference), as well as using the AOIS web site as a medium for communication among researchers. So, certainly, we have reached a wide audience of researchers around the world from both the AI/MAS and IS communities. But did we also manage to build up a dedicated AOIS community? Five years ago, we wrote: “Agent concepts could fundamentally alter the nature of information systems of the future, and how we build them, much like structured analysis, ER modeling, and Object-Orientation has precipitated fundamental changes in IS practice. ” Of course, a period of ?ve years is too short for evaluating the success or failure of a new scienti?c paradigm. But still we may observe that while most IS conferences meanwhile list agents as one of their many preferred topics, agent-orientation is generally not considered to be a fundamental IS paradigm.
The explosive growth of application areas such as electronic commerce, ent- prise resource planning and mobile computing has profoundly and irreversibly changed our views on software systems. Nowadays, software is to be based on open architectures that continuously change and evolve to accommodate new components and meet new requirements. Software must also operate on di?- ent platforms, without recompilation, and with minimal assumptions about its operating environment and its users. Furthermore, software must be robust and ̈ autonomous, capable of serving a naive user with a minimum of overhead and interference. Agent concepts hold great promise for responding to the new realities of software systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, and intentions, all of which need conceptual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, tra- action control, adaptive work?ows, brokering and integration of disparate inf- mation sources, and automated communication processes. On the other hand, their rich representational capabilities allow more faithful and ?exible treatments of complex organizational processes, leading to more e?ective requirements an- ysis and architectural/detailed design.
This book constitutes the thoroughly refereed post-proceedings of the 7th International Bi-Conference Workshop on Agent-Oriented Information Systems, AOIS 2005, held in Utrecht, Netherlands, in July 2005 and in Klagenfurt, Austria, in October 2005. The 19 revised full papers are organized in topical sections on agent behavior, communications and reasoning, methodologies and ontologies, agent-oriented software engineering, as well as applications.
This book constitutes the thoroughly refereed post-proceedings of the 8th International Bi-Conference Workshop on Agent-Oriented Information Systems, AOIS 2005, held in Hakodate, Japan, May9, 2006 and Luxembourg, Luxembourg, June 6, 2006. The 13 revised full papers presented have gone through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. The papers are organized in topical sections on Modelling, Methodologies, Agent-oriented Software Engineering, and Applications.
Provides a greater understanding of issues, challenges, trends, and technologies effecting the overall utilization and management of information in modern organizations around the world.
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.