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.

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.

This special issue is the result of the selection and re-submission of advanced and revised versions of papers from the workshop on "Trust in Agent Societies" (11th edition), held in Estoril (Portugal) on May 10, 2008 as part of the Autonomous Agents and Multi-Agent Systems 2008 Conference (AAMAS 2008), and organized by Rino Falcone, Suzanne Barber, Jordi Sabater-Mir, and Munindar Singh. The aim of the workshop was to bring together researchers from different fields (artificial intelligence, multi-agent systems, cognitive science, game theory, and social and organizational sciences) that could contribute to a better understanding of trust and reputation in agent societies. The workshop scope included theoretical results as well their applications in human–computer interaction and electronic commerce. It was constituted by a main session integrated with two others: the first on the formal models of trust, and the second on reputation models. In this volume we present papers from the three workshop sessions: the main s- sion with papers on theoretical and applicative aspects of trust (from a engineering, cognitive, computational, sociological point of view); the formal model session with works in the field of applied logic and applied mathematics; the reputation models session with papers that specifically address models of reputation systems, theo- driven and empirically backed-up guidelines for designing reputation technologies, and analysis and discussion of existing reputation systems.

​This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policy making. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science, and social simulation education. This collection gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policy making whereby modelling and the behavior of complex systems is key. The book will appeal to students, researchers and professionals in the various fields.

More and more transactions, whether in business or related to leisure activities, are mediated automatically by computers and computer networks, and this trend is having a significant impact on the conception and design of new computer applications. The next generation of these applications will be based on software agents to which increasingly complex tasks can be delegated, and which interact with each other in sophisticated ways so as to forge agreements in the interest of their human users. The wide variety of technologies supporting this vision is the subject of this volume. It summarises the European Cooperation in Science and Technology (COST) Action project on Agreement Technologies (AT), during which approximately 200 researchers from 25 European countries, along with eight institutions from non-COST countries, cooperated as part of a number of working groups. The book is the first to provide a comprehensive overview of the emerging field of Agreement Technologies, written and coordinated by the leading researchers in the field. The results set out here are due for wide dissemination beyond the computer technology sector, involving law and social science as well.

This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.