The introduction to the CMOT special issue with papers from ICORE 2011 is out! Yay!
Read the introduction here
This is how it starts:
Reputation is commonly defined as “the beliefs or opinions that are generally held about someone” . As such, reputation is the prototypical representative of social artifacts that we use to make sense out of social complexity. It shares with norms, responsibility, power, and trust – to cite our own favorite examples – the characteristic of making sense only in a social context. Reputation places itself in the most abstract position among these social artifacts.
Why is it so? Because when properly defined, reputation loosely connects with the object-level actions of the individual. First, in order to distinguish reputation in the proper sense, one must refer to some kind of majority rule – since it must be “generally held”. Second, reputation needs a model where the agent that elaborates and reasons on it must be endowed with a mind able to hold different levels of beliefs, since this agent must not confuse reputation with experience or evaluation. Third, while norms, power, trust and responsibility have all more or less direct connection to an action at the object level – violate or punish, exert, perform an uncertain transaction, gain attribute for an event – reputation only connects directly with the action of gossiping.
The interdisciplinary workshop on Gossip and Reputation at the Lorenz Center in Leiden has been co-organized by Francesca Giardini
Gossip and reputation management are essential features of our world.
Their investigation is part of the frontiers of research in at least three scientific domains: the social, the natural and the computational sciences. Understanding the dynamics, evolution and change of social information transmission requires a truly inter-disciplinary scientific effort.
Aim of this workshop is to define an “atlas” of research on gossip and reputation, in which mainland, i.e., shared concepts that overcome disciplinary boundaries, and detached territories, i.e., field-specific aspects, are explored and defined. The resulting map will be used to lay the foundation for new models and theories of gossip and reputation management, and to test their validity across boundaries between disciplines.
The workshop will be highly interactive and it will be structured around working groups which are expected to work towards the definition of “work packages” which will cover the different levels (individual, inter-individual, group, intergroup, societal), the relation between the levels (micro-macro links), as well as data, methods and tools.
Normative Multi-Agent Systems by Giulia Andrighetto and Guido Governatori and Pablo Noriega and Leendert W. N. van der Torre
As research in Multi-Agent Systems (MAS) has been expanding its focus from from the individual, cognitive focussed, agent models to models of socially situated agents, MAS researchers have been showing rising interest in social theories. Particular attention has been given to normative concepts because it is expected that norms could play as key a role in articulating agent interactions as the one norms play in human social intelligence. Thus, the label of “normative multi-agent system” has been attached to systems where individual and collective behaviour is affected by norms. This book is not a state of the art of normative multi-agent systems, nor a systematic description of the key concepts, or a compendium of the most salient challenges. However, the reader will find in its chapters something of each of these three contents because Normative Multi-Agent Systems is an effort to clarify the ideas behind the label and to put in perspective the work that is being done in this area.
(Social) Norm Dynamics, Giulia Andrighetto, Cristiano Castelfranchi, Eunate Mayor, John McBreen, Maite Lopez-Sanchez, and Simon Parsons
Simulation and NorMAS, Tina Balke, Stephen Cranefield, Gennaro Di Tosto, Samhar Mahmoud, Mario Paolucci, Bastin Tony Roy Savarimuthu, and Harko Verhagen
We are proud to announce:
the paper on peer review published on ACS:
FRANCISCO GRIMALDO and MARIO PAOLUCCI, Advs. Complex Syst. DOI: 10.1142/S0219525913500045
A SIMULATION OF DISAGREEMENT FOR CONTROL OF RATIONAL CHEATING IN PEER REVIEW
Understanding the peer review process could help research and shed light on the mechanisms that underlie crowdsourcing. In this paper, we present an agent-based model of peer review built on three entities — the paper, the scientist and the conference. The system is implemented on a BDI platform (Jason) that allows to define a rich model of scoring, evaluating and selecting papers for conferences. Then, we propose a programme committee update mechanism based on disagreement control that is able to remove reviewers applying a strategy aimed to prevent papers better than their own to be accepted (“rational cheating”). We analyze a homogeneous scenario, where all conferences aim to the same level of quality, and a heterogeneous scenario, in which conferences request different qualities, showing how this affects the update mechanism proposed. We also present a first step toward an empirical validation of our model that compares the amount of disagreements found in real conferences with that obtained in our simulations.
Keywords: Artificial social systems; peer review; agent-based simulation; trust reliability and reputation
and the chapter on Reputation in the book “Simulating Social Complexity”:
Francesca Giardini, Rosaria Conte, Mario Paolucci
Why Read This Chapter?
To understand the different conceptions underlying reputation in simulations up to the current time and to get to know some of the approaches to implementing reputation mechanisms, which are more cognitively sophisticated.
In this chapter, the role of reputation as a distributed instrument for social order is addressed. A short review of the state of the art will show the role of reputation in promoting (a) social control in cooperative contexts – like social groups and subgroups – and (b) partner selection in competitive contexts, like (e-) markets and industrial districts. In the initial section, current mechanisms of reputation – be they applied to electronic markets or MAS – will be shown to have poor theoretical backgrounds, missing almost completely the cognitive and social properties of the phenomenon under study. In the rest of the chapter a social cognitive model of reputation developed in the last decade by some of the authors will be presented. Its simulation-based applications to the theoretical study of norm-abiding behaviour, partner selection and to the refinement and improvement of current reputation mechanisms will be discussed. Final remarks and ideas for future research will conclude the chapter.