1,721,165 research outputs found
Collaboration and human factor as drivers for reputation system effectiveness
No full textReputation management is about evaluating an agent's actions and other agents' opinions about those actions, reporting on those actions and opinions, and reacting to that report thus creating a feedback loop. This social mechanism has been successfully used, through Reputation Management Systems (RMSs) to classify agents within normative systems. Most RMSs rely on the feedbacks given by the member of the social network in which the RMS itself operates. In this way, the reputation index can be seen as an endogenous and self produced indicator, created by the users for the users' benefit. This implies that users' participation and collaboration is a key factor for the effectiveness a RMS. In this work the above factor is explored by means of an agent based simulation, and is tested on a P2P network for file sharing. © 2010 Springer-Verlag
Evaluation of human factor in reputation management systems, by means of agent-based simulation: Application to P2P networks
No full textSIMULATING THE HUMAN FACTOR IN REPUTATION MANAGEMENT SYSTEMS FOR P2P NETWORKS An Agent Based Model
No full textA compelling problem in peer-to-peer (P2P) networks for file sharing, is the spreading of inauthentic files. To counter this, reputation management systems (RMS) have been introduced. These systems dynamically assign to the users a reputation value, considered in the decision to download files from them. RMS are proven, via simulation, to make P2P networks safe from attacks by malicious peers spreading inauthentic files. But, in large networks of millions of users, non-malicious users get a benefit from sharing inauthentic files due to the credit system. In this paper we show, using agent based simulation, that reputation systems are effective only if there is a widespread cooperation by users in verifying authenticity of files during the download phase, while the size punishment derived by the reputation systems is less relevant. This was not evident in previous works since they make several ideal assumptions about the behaviour of peers who have to verify files to discover inauthentic ones. Agent based simulation allows to study the human factor behind the behaviour of peers, in particular the advantage of spreading inauthentic files, of not checking as soon as possible their authenticity during the download, thus unwillingly cooperating to the spreading of files-point
Coordination, Organization, Institutions and Norms in Agent Systems II, AAMAS 2006 and ECAI 2006 International Workshops, Revised Selected Papers
No full textSeries: Lecture Notes in Computer Science, Vol. 4386 Subseries: Lecture Notes in Artificial Intelligence Noriega, P.; Vázquez-Salceda, J.; Boella, G.; Boissier, O.; Dignum, V.; Fornara, N.; Matson, E. (Eds.)International audienc
Users collaboration as a driver for reputation system effectiveness: A simulation study
No full textReputation management is about evaluating an agent's actions and other agents' opinions about those actions, reporting on those actions and opinions, and reacting to that report thus creating a feedback loop. This social mechanism has been successfully used, through Reputation Management Systems (RMSs) to classify agents within normative systems. Most RMSs rely on the feedbacks given by the member of the social network in which the RMS itself operates. In this way, the reputation index can be seen as an endogenous and self produced indicator, created by the users for the users' benefit. This implies that users' participation and collaboration is a key factor for the effectiveness a RMS. In this work the above factor is explored by means of an agent based simulation, and is tested on a P2P network for file sharing
Urban commoning in a civic social network: the case study of FirstLife
Full text linkThe integration of ICTs in the urban management is increasing at all levels of public administrations in order to improve efficiency and effectiveness of public services, but their role is still instrumental rather than drive a change toward a more collaborative local governance. On the other hand, there is a raising expectation of the civil society to participate in decision making processes and contribute in defining local policies about sensitive topics. These purposes are often addressed by using or creating community digital tools designed for a specific contextual scope, resulting in a deep fragmentation of information about civic initiatives and social innovation projects and a lack of continuous communication among urban stakeholders even working in the same area. The challenge is to design an ICT solution to refactor the current practices of cooperation between private and public sector and support a real change in the city management processes from the local to the territorial level. In this contribution, we present the development of FirstLife, a map-based civic social network, designed to represent the complex environment of the city through geo-referenced time framed crowdsourced data about urban entities as events, places, groups, initiatives, projects, stories, news, etc. The main goals of the platform are to support the action of multiple stakeholders in alternative processes of co-management of common or shared resources, as for instance public spaces, green areas and buildings hosting collective institutions, to enable the co-production of services based on a reform of local administrative protocols toward the We-government model, and to empower mixed local networks. The development of FirstLife followed a participatory action design research methodology involving several stakeholders among associations, local authorities and institutions, businesses and the University in the city of Turin in the last two years. The participatory process started from the requirement elicitation, and continued with the collection of applicative scenarios based on the context analysis of internal/external relations of groups of stakeholders and the balancing of their goals in a common platform. Then, the co-design of features has been undertaken in the stakeholders' working environments to model the platform functionalities on the real processes and practices defining social acceptable technological solutions, ready to be adopted by institutional and civic organizations. The platform has been tested-in-use in multiple living labs and pilot projects, experimenting a number of use patterns representing the common actions in the city carried out by public or private actors. These activities have been integrated in an iterative development cycle that brought so far at four progressively improved versions of FirstLife, from a map-based tool to share georeferenced information to a common workbench for multiple stakeholders acting in the same area (from the neighbourhood to the city level) where open groups can self-organize initiatives and cooperate with others. The result of this process is a digital space for urban commoning practices,reflecting the organization of society in individuals and structured public and private entities, the spatial framework of their actions and the temporal development of city transformations and initiatives
1st Workshop on Argumentation in Artificial Intelligence and Philosophy: computational and philosophical perspectives – Preface
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Multilingual conceptual dictionaries based on ontologies: Analytical tools and case studies
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