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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.
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Regulated Agent-Based Social Systems - First International Workshop, RASTA 2002, Bologna, Italy, July 16, 2002, Revised Selected and Invited Papers (Paperback, 2004 ed.)
Gabriela Lindemann, Daniel Moldt, Mario Paolucci
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R1,669
Discovery Miles 16 690
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Ships in 10 - 15 working days
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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.
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Multi-Agent-Based Simulation XX - 20th International Workshop, MABS 2019, Montreal, QC, Canada, May 13, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Mario Paolucci, Jaime Simao Sichman, Harko Verhagen
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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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.
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Multi-Agent-Based Simulation VIII - International Workshop, MABS 2007, Honolulu, HI, USA, May 15, 2007, Revised and Invited Papers (Paperback, 2008 ed.)
Luis Antunes, Mario Paolucci, Emma Norling
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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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
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