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 meta-belief, 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 agent-based simulations.

Thisvolumepresentsselected, extendedandreviewedversionsofthepapersp- sented at the 1st International Workshop on Regulated Agent Systems: Theory and Applications (RASTA 2002), a workshop co-located with the 1st Internat- nalJointConferenceonAutonomousAgentsandMulti-AgentSystems(AAMAS 2002), which was held in Bologna, Italy, in July, 2002. In addition, several new papers on the workshop theme appear here as the result of a further call for participation. Agent-technology is the latest paradigm of software engineering methodology. The development of autonomous, mobile, and intelligent agents brings new ch- lenges to the ?eld. Agent technologies and multiagent systems are among the most vibrant and active research areas of computer science. At the same time commercialapplicationsofagentsaregainingattention.Theconstructionofar- ?cial (agent) societies leads to questions that already have been asked for human societies. Computer scientists have adopted terms like emerging behavior, se- organization, andevolutionarytheoryinanintuitivemanner.Multiagentsystem researchershavestartedtodevelopagentswithsocialabilitiesandcomplexsocial systems. However, most of these systems lack the foundation of the social sciences. The intention of the RASTA workshop, and of this volume, is to bring together researchers from computer science as well as the social sciences who see their common interest in social theories for the construction and regulation of mul- agent systems. A total of 17 papers appear in this volume, out of 31 papers submitted. Theyincludeninepaperspresentedintheworkshop(whosepreproceeedingswere published as Communications Vol. 318 Mitteilung 318 of Hamburg University, Faculty of Informatics), as well as six new papers. In addition, an invited paper from Bruce Edmonds re?ects some aspects of the lively discussions held during the workshop. The selection presented is divided into two major topic

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 meta-belief, 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 agent-based simulations.

This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Montreal, QC, Canada, in May 2019 as part of the AAMAS 2019, the 18th International Conference on Autonomous Agents and Multiagent Systems. The 9 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.

This volume contains selected papers that were presented at the eighth int- national workshop on Multi-Agent-Based Simulation (MABS 2007), a workshop co-located with the 6th International Joint Conference on Autonomous Agents andMulti-Agent Systems (AAMAS 2007), held inHonolulu, Hawaii, onMay15, 2007. These papers have been revised and extended, based on discussions at the workshop, and reviewed once more. Agenttechnology is now a mature paradigm of software engineering. C- plex systems, which are irreducible to their components in isolation, are instead heavily characterizedby the interaction between their components. Agent-based simulation is the natural way to model systems with a focus on interaction, and the circle closes by considering how the social sciences show this kind of c- plexity. The focus of this workshopseries lies in this con?uence of socialsciences and multi-agent systems. 1 Simulation has been proposed by Axelrod as athirdwayofdoingscience, in contrast with deduction and induction: generating data that can be analyzed inductively, but coming from a rigourously speci?ed set of rules rather than - rect measurement of the real world. In this sense, to simulate a phenomenon is to generate it - constructing arti?cial (agent) societies. This in turn leads to questions that have already been asked for human societies. Computer sci- tists have adopted general terms like emerging behavior, self-organization, and evolutionary theory; even speci?c social terms such as norms, reputation, trust, tags, institutions; but all of them in an intuitive manne