Mario Paolucci – författare

This text discusses the role of reputation in the achievement of social order. It 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 co-operation or altruism, reciprocity, or norm obedience. The text 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.

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 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 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 open access book explores panels, infrastructures, open science, and the opportunities they offer. More than that, it shares our experiences in creating them. This is not a technical manual, but an accessible guide about social sciences infrastructures, how they work, and why they are essential for collaboration and the sharing of knowledge. Through stories, examples, and insights, we show that infrastructures are not only technological tools but living ecosystems that nurture ideas, connect people, and add to everyone’s work. The book speaks to students, teachers, researchers, and decision-makers, but also to citizens, communities, and those curious about the future of knowledge in social sciences. Open science here is not just theory, but a hands-on practice that widens horizons and makes discovery a shared adventure.

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 topics.

This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Multi-Agent-Based Simulation, MABS 2007, held in Honolulu, HI, USA in May 2007 as an associated event of AAMAS 2007, the main international conference on autonomous agents and multi-agent systems. The 10 revised full papers presented were carefully reviewed and selected from 20 submissions.The papers are organized in topical sections on architectures; teams, learning, education; economy, trust and reputation.