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This book constitutes the thoroughly refereed post-conference proceedings of the first two international workshops on computational models of collaboration in distributed systems: CARE 2009, held as satellite event of the 22nd Australasian Joint Conference on Artificial Intelligence AI09 in Melbourne, Australia, in December 2009 and CARE 2010, held in conjunction with the International Conference on Intelligent Agent Technology (IAT) in Toronto, Canada, in August 2010. The 12 revised full papers presented together with 2 invited lectures were carefully selected from a total of 45 submissions to both events. The workshops' thematic focus is on collaborative and autonomous agents that plan, negotiate, coordinate, and act under conditions of incomplete information, uncertainty, and bounded rationality.
"This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems"--Provided by publisher.
Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed.
This widely adopted textbook provides the essential content and skill-building tools for teaching the responsible conduct of scientific research. Scientific Integrity covers the breadth of concerns faced by scientists: protection of animal and human experimental subjects, scientific publication, intellectual property, conflict of interest, collaboration, record keeping, mentoring, and the social and ethical responsibilities of scientists. Learning activities and resources designed to elucidate the principles of Scientific Integrity include Dozens of highly relevant, interactive case studies for discussion in class or online Numerous print and online resources covering the newest research guidelines, regulations, mandates and policies Discussion questions, role-playing exercises, and survey tools to promote critical thought Documents including published rules of conduct, sample experimentation protocols, and patent applications The new edition of Scientific Integrity responds to significant recent changes—new mandates, policies, laws, and other developments—in the field of responsible conduct of research. Dr. Macrina plants the seeds of awareness of existing, changing, and emerging standards in scientific conduct and provides the tools to promote critical thinking in the use of that information. Scientific Integrity is the original turnkey text to guide the next generations of scientists as well as practicing researchers in the essential skills and approaches for the responsible conduct of science.
The ATOP (Agent-Based Technologies and Applications for Enterprise Interoperability) workshop series focuses on technologies that support interoperability in networked organizations, on successful applications of these technologies, and on lessons learned. In particular, ATOP brings together research combining ideas from MDA and SOA with agent technologies. The ATOP 2009 and 2010 workshops were held at the AAMAS conferences in Budapest, Hungary, in May 2009, and in Toronto, Canada, in May 2010. The 11 papers presented here were carefully reviewed by three members of the international Program Committee and selected out of 25 contributions to the workshops. The topics covered are modeling interoperable systems; semantic approaches to enterprise interoperability; and interoperable business processes and business interactions. These papers are completed by an invited contribution reporting on OMG agent standardization. The main goal was to collect approaches for the application of agent technologies in these areas. Current trends in the development of agent technologies are compared with recent developments in service-oriented and model-driven system design, with respect to their ability to solve interoperability problems.
Collaborative Network Organizations (CNO) corresponds to a very active and steadily growing area. For instance, Virtual enterprises/Virtual Organizations (PVC) suggest new ways of work and put the emphasis on collaborative networks of human actors. Further to these main lines, other collaborative forms and patterns of collaborative behavior are emerging, not only in industry, but also in service sector, as well as governmental and non-government social organizations, e.g. the collaborative networks for rescue tasks in disaster situations, time bank organizations, etc. The concept of breeding environment is now understood as a fundamental entity to enable dynamic collaborative organizations.
This book constitutes the thoroughly reviewed joint postprocessings of two international workshops on Coordination, Organization, Institutions and Norms in Agent Systems, COIN@AAMAS 2010, held in Toronto, Canada in May 2010 and COIN@MALLOW 2010, held in Lyon, France in August 2010. The 20 revised full papers presented went through several rounds of reviewing and revision and were carefully selected for presentations. The papers are organized in topical sections on normative systems design and modeling; social aspects; and norms at runtime: learning and enforcing.
Addressing the open problem of engineering normative open systems using the multi-agent paradigm, normative open systems are explained as systems in which heterogeneous and autonomous entities and institutions coexist in a complex social and legal framework that can evolve to address the different and often conflicting objectives of the many stakeholders involved. Presenting a software engineering approach which covers both the analysis and design of these kinds of systems, and which deals with the open issues in the area, ROMAS (Regulated Open Multi-Agent Systems) defines a specific multi-agent architecture, meta-model, methodology and CASE tool. This CASE tool is based on Model-Driven technology and integrates the graphical design with the formal verification of some properties of these systems by means of model checking techniques. Utilizing tables to enhance reader insights into the most important requirements for designing normative open multi-agent systems, the book also provides a detailed and easy to understand description of the ROMAS approach and the advantages of using ROMAS. This method is illustrated with case studies, in which the reader may develop a comprehensive understanding of applying ROMAS to a given problem. The case studies are presented with illustrations of the developments. Reading this book will help readers to understand the increasing demand for normative open systems and their development requirements; understand how multi-agent systems approaches can be used to deal with the development of systems of this kind; to learn an easy to use and complete engineering method for large-scale and complex normative systems and to recognize how Model-Driven technology can be used to integrate the analysis, design, verification and implementation of multi-agent systems.
Networks and other collaborations are central to the public sector’s ability to respond to their diverse responsibilities, from international development and regional governance, to policy development and service provision. Great strides have been made toward understanding their formation, governance and management, but more opportunities to explore methodologies and measures is required to ensure they are properly understood. This volume showcases an array of selected research methods and analytics tools currently used by scholars and practitioners in network and collaboration research, as well as emerging styles of empirical investigation. Although it cannot attempt to capture all technical details for each one, this book provides a unique catalogue of compelling methods for researchers and practitioners, which are illustrated extensively with applications in the public and non-profit sector. By bringing together leading and upcoming scholars in network research, the book will be of enormous assistance in guiding students and scholars in public management to study collaboration and networks empirically by demonstrating the core research approaches and tools for investigating and evaluating these crucially important arrangements.