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The Handbook of Normative Multiagent Systems presents a comprehensive overview of the state-of-the-art and trends in the research field of normative multiagent systems (NorMAS). The handbook provides a solid introduction to the essentials of the field for newcomers and a selection of advanced issues as a base for future research directions. Norms are widely used to represent ethical, legal, and interactive aspects of social systems. Normative multiagent systems provide a promising model for human and artificial agent coordination since they integrate norms and individual intelligence. Thus, in the NorMAS community we build upon computer science but also logic, legal theory, sociology, psychology, and cognitive science. The handbook is organised in four parts. The introduction part describes the foundations and the history of the field and adds a particular focus on the social sciences' view on norms. The second part describes the major achievements the NorMAS research fi eld attained in the modelling of normative multiagent systems and the main challenges still open. Examples of these challenges include how to specify norms, verify systems of norms, model norm emergence and norm change, detect and subsequently manage norm violations, model organisations and institutions, and the use of agent-based simulation models to study these norm-related processes. Part C is concerned with the engineering of normative multiagent systems, more in particular interaction protocols to convey normative meaning and how to computationally organise normative multiagent systems. The final part is concerned with logically analyzing normative multiagent systems. Given the profound importance of norms in multiagent systems, it is fundamental to understand, e.g., which norms are valid in certain environments, how to interpret them, and to determine the deontic conclusions of such norms.
"This book provide a comprehensive view of current developments in agent organizations as a paradigm for both the modeling of human organizations, and for designing effective artificial organizations"--Provided by publisher.
Social Order in Multiagent Systems provides an overview of current approaches, problems, and considerations related to the study of norms and institutions in the context of multiagent systems. The contributions in this volume share the assumption that norms and other social institutions are of vital importance for the development of multiagent systems and agent-mediated interaction. Both formal and computational models of norms and normative systems are presented, including formal analysis of normative concepts and foundational models of norms; agent and systems architectures for implementing norms; and implemented systems. Social Order in Multiagent Systems is an excellent reference for researchers in artificial intelligence and computer science, and can be used as text for advanced level courses in multiagent systems.
This book constitutes the refereed post-proceedings of the International Workshop on Agents, Norms and Institutions for Regulated Multiagent Systems, ANIREM 2005, and the International Workshop on Organizations in Multi-Agent Systems, OOOP 2005, held in Utrecht, The Netherlands, July 2005. This is the first volume in a new series on issues in Coordination, Organizations, Institutions and Norms (COIN) in multi-agent systems. Topics include modeling, analyzing and programming organizations and more.
Due to the exponential rise of emerging technology, there have been significant developments in intelligent systems. This has facilitated increasing opportunities for new applications and improvements. Developments and Trends in Intelligent Technologies and Smart Systems is a critical source of scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modeling, remote patient monitoring, and service-oriented architecture, this book is ideally designed for researchers, engineers, computer scientists, academics, students, and professionals interested in the latest applications of intelligent technologies.
"It is not the consciousness of men that defines their existence, but, on the contrary, their social existence determines their consciousness." Karl Marx In recent years, several researchers have argued that the design of multi-agent sys tems (MAS) in complex, open environments can benefit from social abstractions in order to cope with problems in coordination, cooperation and trust among agents, problems which are also present in human societies. The agent-mediated electronic institutions (e-institutions for short) is a new and promising field which focuses in the concepts of norms and institutions in order to pro vide normative frameworks to restrict or guide the behaviour of (software) agents. The main idea is that the interactions among a group of (software) agents are ruled by a set of explicit norms expressed in a computational language representation that agents can interpret. Such norms should not be considered as a negative constraining factor but as an aid that guides the agents' choices and reduces the complexity ofthe environment making the behaviour of other agents more predictable.
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.