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Social Order In Multiagent Systems
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Book Synopsis Reputation in Artificial Societies by : Rosaria Conte
Download or read book Reputation in Artificial Societies written by Rosaria Conte and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reputation In Artificial Societies discusses the role of reputation in the achievement of social order. The book proposes that reputation is an agent property that results from transmission of beliefs about how the agents are evaluated with regard to a socially desirable conduct. This desirable conduct represents one or another of the solutions to the problem of social order and may consist of cooperation or altruism, reciprocity, or norm obedience. Reputation In Artificial Societies distinguishes between image (direct evaluation of others) and reputation (propagating metabelief, indirectly acquired) and investigates their effects with regard to both natural and electronic societies. The interplay between image and reputation, the processes leading to them and the set of decisions that agents make on their basis are demonstrated with supporting data from agentbased simulations.
Book Synopsis Social Order in Multiagent Systems by : Rosaria Conte
Download or read book Social Order in Multiagent Systems written by Rosaria Conte and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis An Introduction to MultiAgent Systems by : Michael Wooldridge
Download or read book An Introduction to MultiAgent Systems written by Michael Wooldridge and published by John Wiley & Sons. This book was released on 2009-06-22 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems
Book Synopsis Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality by : Jianye Hao
Download or read book Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality written by Jianye Hao and published by Springer. This book was released on 2016-04-13 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.
Book Synopsis Multiagent System Technologies by : Gabriela Lindemann
Download or read book Multiagent System Technologies written by Gabriela Lindemann and published by Springer Science & Business Media. This book was released on 2004-09-23 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second German Conference on Multiagent Systems Technologies, MATES 2004, held in Erfurt, Germany, in September 2004. The 22 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on learning and social agents, analysis and security, negotiation and control, agents and software engineering, simulation and agents, and policies and testing.
Book Synopsis Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism by : Jeremy Pitt
Download or read book Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism written by Jeremy Pitt and published by World Scientific. This book was released on 2021-09-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paradigm of self-organisation is fundamental to theories of collective action in economic science and democratic governance in political science. Self-organisation in these social systems critically depends on voluntary compliance with conventional rules: that is, rules which are made up, mutually agreed, and modifiable 'on the fly'. How, then, can we use the self-organisation observed in such social systems as an inspiration for decentralised computer systems, which can face similar problems of coordination, cooperation and collaboration between autonomous peers?Self-Organising Multi-Agent Systems presents an innovative and systematic approach to transforming theories of economics and politics (and elements of philosophy, psychology, and jurisprudence) into an executable logical specification of conventional rules. It shows how sets of such rules, called institutions, provide an algorithmic basis for designing and implementing cyber-physical systems, enabling intelligent software processes (called agents) to manage themselves in the face of competition for scarce resources. It also provides a basis for implementing socio-technical systems with interacting human and computational intelligences in a way that is sustainable, fair and legitimate.This interdisciplinary book is essential reading for anyone interested in the 'planned emergence' of global properties, commonly-shared values or successful collective action, especially as a product of social construction, knowledge management and political arrangements. For those studying both computer science and social sciences, this book offers a radically new gateway to a transformative understanding of complex system development and social system modelling.Understanding how a computational representation of qualitative values like justice and democracy can lead to stability and legitimacy of socio-technical systems is among the most pressing software engineering challenges of modern times. This book can be read as an invitation to make the Digital Society better.Related Link(s)
Book Synopsis Layered Learning in Multiagent Systems by : Peter Stone
Download or read book Layered Learning in Multiagent Systems written by Peter Stone and published by MIT Press. This book was released on 2000-03-03 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm—team-partitioned, opaque-transition reinforcement learning (TPOT-RL)—designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries—a computer-simulated robotic soccer team. Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.
Book Synopsis Social Order in Multiagent Systems by : Rosaria Conte
Download or read book Social Order in Multiagent Systems written by Rosaria Conte and published by Springer Science & Business Media. This book was released on 2001-08-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Multiagent Systems by : Magdi S. Mahmoud
Download or read book Multiagent Systems written by Magdi S. Mahmoud and published by CRC Press. This book was released on 2020-03-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.
Download or read book Socionics written by Klaus Fischer and published by Springer Science & Business Media. This book was released on 2005-12-14 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes contributions from an interdisciplinary field of research we call Socionics. Based on a close cooperation between sociologists and researchers from distributed artificial intelligence and multiagent systems, Socionics deals with the exploration of the emergence and dynamics of artificial social systems, agent societies, as well as hybrid man-machine societies. The aim is both to develop intelligent computer technologies by picking up theoretical concepts and methods from sociology and to improve sociological models of societies and organizations by using advanced computer technology. The 15 articles in this state-of-the-art survey combine selected contributions from sociology and informatics on the modeling, construction, and study of complex social systems with special regard to the problem of scaling multiagent systems. The discussion focuses on four specific research areas: multi-layer modeling, organization and self-organization, emergence of social structures, and paths from an agent-centered to a communication-centered perspective in modeling multiagent systems.
Book Synopsis Computational Logic in Multi-Agent Systems by : Francesca Toni
Download or read book Computational Logic in Multi-Agent Systems written by Francesca Toni and published by Springer. This book was released on 2006-04-12 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-proceedings of the 6th International Workshop on Computational Logic for Multi-Agent Systems, CLIMA VI. The book presents 14 revised full technical papers, 4 contest papers, and 7 invited papers together with 1 invited article are organized in topical sections on foundational aspects of agency, agent programming, agent interaction and normative systems, the first CLIMA contest, and on the project report of the SOCS project.
Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Vlassis
Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Vlassis and published by Morgan & Claypool Publishers. This book was released on 2007-06-01 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
Book Synopsis Multi-Agent Programming by : Rafael H. Bordini
Download or read book Multi-Agent Programming written by Rafael H. Bordini and published by Springer Science & Business Media. This book was released on 2005-11-21 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Agent Programming is an essential reference for anyone interested in the most up-to-date developments in MAS programming. While previous research has focused on the development of formal and informal approaches to analyze and specify Multi-Agent Systems, this book focuses on the development of programming languages and tools which not only support MAS programming, but also implement key concepts of MAS in a unified framework. Part I describes approaches that rely on computational logic or process algebra – Jason, 3APL, IMPACT, and CLAIM/SyMPA. Part II presents languages and platforms that extend or are based on Java – JADE, Jadex and JACKTM. Part III provides two significant industry specific applications – The DEFACTO System for coordinating human-agent teams for disaster response, and the ARTIMIS rational dialogue agent technology. Also featured are seven appendices for quick reference and comparison.
Book Synopsis Multi-Agent Systems and Agent-Based Simulation by : Jaime S. Sichman
Download or read book Multi-Agent Systems and Agent-Based Simulation written by Jaime S. Sichman and published by Springer Science & Business Media. This book was released on 1998-12-18 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fifteen papers were presented at the first workshop on Multi-Agent Systems and Agent-Based Simulation held as part of the Agents World conference in Paris, July 4-- 6, 1998. The workshop was designed to bring together two developing communities: the multi-agent systems researchers who were the core participants at Agents World, and social scientists interested in using MAS as a research tool. Most of the social sciences were represented, with contributions touching on sociology, management science, economics, psychology, environmental science, ecology, and linguistics. The workshop was organised in association with SimSoc, an informal group of social scientists who have arranged an irregular series of influential workshops on using simulation in the social sciences beginning in 1992. While the papers were quite heterogeneous in substantive domain and in their disciplinary origins, there were several themes which recurred during the workshop. One of these was considered in more depth in a round table discussion led by Jim Doran at the end of the workshop on 'Representing cognition for social simulation', which addressed the issue of whether and how cognition should be modelled. Quite divergent views were expressed, with some participants denying that individual cognition needed to be modelled at all, and others arguing that cognition must be at the centre of social simulation.
Book Synopsis Control of Multi-agent Systems by : Masaaki Nagahara
Download or read book Control of Multi-agent Systems written by Masaaki Nagahara and published by Springer. This book was released on 2024-05-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems. The authors address important and fundamental problems including: • consensus control; • coverage control; • formation control; • distributed optimization; and • the viral spreading phenomenon. Students' understanding of the core theory for multi-agent control is enhanced through worked examples and programs in the popular Python language. End-of-chapter exercises are provided to help assess learning progress. Instructors who adopt the book for their courses can download a solutions manual and the figures in the book for lecture slides. Additionally, the Python programs are available for download and can be used for experiments by students in advanced undergraduate or graduate courses based on this text. The broad spectrum of applications relevant to this material includes the Internet of Things, cyber-physical systems, robot swarms, communications networks, smart grids, and truck platooning. Additionally, in the spheres of social science and public health, it applies to opinion dynamics and the spreading of viruses in social networks. Students interested in learning about such applications, or in pursuing further research in multi-agent systems from a theoretical perspective, will find much to gain from Control of Multi-agent Systems. Instructors wishing to teach the subject will also find it beneficial.
Book Synopsis Multiagent System Technologies by : Jörg P. Müller
Download or read book Multiagent System Technologies written by Jörg P. Müller and published by Springer. This book was released on 2014-09-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 31 submissions. The book also contains 2 invited talks. The papers are organized in topical sections named: mechanisms, negotiation, and game theory; multiagent planning, learning, and control; and multiagent systems engineering, modeling and simulation.
Book Synopsis Handbook of Research on Agent-Based Societies: Social and Cultural Interactions by : Trajkovski, Goran
Download or read book Handbook of Research on Agent-Based Societies: Social and Cultural Interactions written by Trajkovski, Goran and published by IGI Global. This book was released on 2009-02-28 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume addresses a variety of issues, in particular the emergence of societal phenomena in the interactions of systems of agents (software, robot or human)"--Provided by publisher.
