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About 6,461 papers for “Computational trust”

Computational Trust

Audun Jøsang · Artificial intelligence: foundations, theory, and algorithms/Artificial intelligence: Foundations, theory, and algorithms · 2016

Cited by 0

Computational Trust Models

Xin Liu, Anwitaman Datta, Karl Aberer · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2018

Cited by 0Open access

Computational Trust in SocialWeb

Kiyana Zolfaghar, Abdollah Aghaie · International Journal of Virtual Communities and Social Networking · 2010

Trust as a major part of human interactions plays an important role in addressing information overload and helping users collect reliable information in SocialWeb applications. This paper examines the current situation and future trends of computational trust for these systems. Achieving this, the authors present an overview of existing social trust mechanisms and identify their strengths and weaknesses through discussion and analysis. In this paper, the authors also provide a comprehensive framework of social trust-inducing factors that contribute to the trust formation process and discuss key research issues and challenges to find future research trends in computing trust in the SocialWeb context.

Cited by 1

Computational Trust in Cloud Manufacturing

Lu Gao, Quan Liu, Ping Lou · Advanced materials research · 2013

Cloud manufacturing is a new kind of advanced service-oriented network manufacturing paradigm. There are two kinds of nodes in this network manufacturing environment: manufacturing service nodes (service providers) encapsulated by manufacturing resources and task nodes (service customers). One of the bases of building up the collaborative relationships between customers and providers in cloud manufacturing environment is their reciprocal trust. However, vicious, mendacious, and inveracious information makes it quite difficult for customers to find reliable and high-quality providers to form virtual manufacturing systems for efficiently responding to market demands in cloud manufacturing environment, viz. service consumers often have insufficient information on service providers. The trustworthy network manufacturing environment is a prerequisite to implementation of cloud manufacturing. In this paper the notion of human trust is extended to the cloud manufacturing. A computational trust model which combines the direct computational reliability and the computational reputation is presented, and the simulating result confirms it valid.

Cited by 3

A formalization of computational trust

Güven Özçelebi, C Çiçek, Holenderski, MJ Mike, Özçelebi, T Tanir et al. · TU/e Research Portal (Eindhoven University of Technology) · 2018

<p>Computational trust aims to quantify trust and is studied by many disciplines including computer science, social sciences and business science. We propose a formal computational trust model, including its parameters and operations on these parameters, as well as a step by step guide to compute trust in a real application. We make a distinction between trust statements that aim to capture the truth of a dynamic phenomenon and trust statements that aim to capture the truth of a static phenomenon. We elaborate on how this difference should be reflected in trust computation. To this end we apply a dynamic base rate (prior trust) as an alternative to the widely used fixed base rate.</p>

Cited by 0

A formalization of computational trust

Çíçek Güven, Mike Holenderski, Tanır Özçelebi et al. · 2017

Computational trust aims to quantify trust and is studied by many disciplines including computer science, social sciences and business science. We propose a formal computational trust model, including its parameters and operations on these parameters, as well as a step by step guide to compute trust in a real application. We make a distinction between trust statements that aim to capture the truth of a dynamic phenomenon and trust statements that aim to capture the truth of a static phenomenon. We elaborate on how this difference should be reflected in trust computation. To this end we apply a dynamic base rate (prior trust) as an alternative to the widely used fixed base rate.

Cited by 1

Computational trust in Multiplayer Online Games.

Ahmad, Muhammad Aurangzeb · University of Minnesota Digital Conservancy (University of Minnesota) · 2012

University of Minnesota Ph.D. dissertation. April 2012. Major: Computer science. Advisor:Jaideep Srivastava. 1 computer file (PDF); xiv, 221 pages.

Cited by 3Open access

Computational Institutions: an Analysis of Trust

SARTOR, GIOVANNI, RUBINO, ROSSELLA · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2005

In this paper, after introducing the notion of an computational
\ninstitution, and providing a formal characterisation of it, we shall
\npropose an analysis of the connection between trust and institutions.
\nThis will allow us to distinguish two aspects of trust: institutional trust
\nand intrainstitutional trust. By institutional trust we mean trust of the
\nindividual members of the institution toward the institution itself. The
\nbasic idea is that institutional trust is determined by trust in the component
\nelements of the institution, according to the function they play in
\nthe working of the institution itself. By interinstitutional trust we mean
\ntrust which the members of the institutions have one toward another.
\nThe idea is that this trust is to a certain extent determined by trust in
\nthe institution itself, namely by institutional trust.

Cited by 0

A Logical Language for Computational Trust

Tagliaferri, Mirko · CINECA IRIS Institutional Research information system (University of Urbino) · 2019

Trust is an ambiguous concept. Most of this ambiguity is produced by the fact that trust (such as, e.g., love) is a naïve concept: every human being possesses a rough and pre-theoretical notion of trust and, to apply it, they often rely on their gut’s feelings, rather than objective evaluations. For instance, even though not advisable, there seems to be no particular problem with the sentence: “I don't know why, but I feel I can trust him.”, uttered by someone placing his trust in a complete stranger. This fact produces the unpleasant effect of not having a general meaning of trust on which everyone agrees, since each individual attaches a specific meaning to the concept based on their personal experiences and, more importantly, on their moral and ethical status and upbringing. A further source of ambiguity is generated by the fact that trust is a wide concept, applicable in different contexts with meanings that can vary greatly. When someone utters: “I trust you are enjoying your summer.”, she has a quite different meaning in mind compared to when she utters: “I trust you will complete the task in time.”; the former sentence expressing hope, while the latter expressing a form of belief on the abilities of the other agent. Coupling those two facts together (trust naïve and multi-purpose nature), it comes with no surprise that in everyday life there is a plethora of different interpretations surrounding the concept of trust. Per se, this doesn't produce any specific problems: in natural languages there are many concepts which do not have a precise meaning, and, after all, the word ‘trust’ is employed on a daily basis by many agents without particular difficulties. This is due to the fact that in ordinary interactions, context identification and physical cues can help disambiguating the various meanings of the concepts employed and, when they don't, further enquiries and repeated interactions make it possible for groups of agents to agree on common meanings. However, the multifaceted nature of trust becomes problematic when the plethora of interpretations is carried over to formal settings. If two political economists discuss some national policy which involves trust, but they do not realize that they are not sharing a common meaning for the notion, then it is very unlikely that they will settle on the correct way of implementing the policy. This is indeed what happens with the concept of trust. Different disciplines conceptualize trust differently and, often, inside the same discipline, it is possible to find highly different conceptualizations. The most straightforward example is that of economy, where: “[T]rust is defined by some as a characteristic of a particular class of action, while others identify it as a precondition for any such action to take place. At the same time, some discuss trust with reference to governments and organisations, while others examine trust between individuals or people in particular roles.” (Furlong, The Conceptualization of ‘Trust’ in Economic Thought) Another example is that of (the security fragment of) computer science: with the gradual transition of social interactions from face-to-face to digital environments, the importance of having a digital counterpart of trust contributed to the emergence of numerous theoretical analyses of the notion, which, instead of fostering a unified account, produced a potpourri of definitions with different domains of application and different levels of abstraction. This is a pressing issue for computer scientists who desire to build general frameworks for digital systems which include a trust component: different definitions of trust might have drastically different effects on the frameworks and thus, might produce incompatible digital systems. This calls for a unified formal account of the notion of trust and a formal framework which embody this formal notion. With such structures in hand, a computer scientist would be able to construct general frameworks which can reproduce and imitate social environments better and, thus, promote interactions of a higher quality on the web. The focus of this thesis is, therefore, that of forming a set of core features of socio-economical notions of trust. From there, the aim is to build a computational counterpart of the notion, which does justice to previous attempts of formalising trust in computer science. This computational counterpart is then employed to build gradually more powerful formal languages which allow reasoning about trust. The main properties of those formal languages are analysed and, finally, comparisons are made with other models which are employed to model trust in computer science.

Cited by 0Open access

An approach to computational social trust

Joana Urbano, Ana Paula Rocha, Eugénio Oliveira · AI Communications · 2014

Previous work on computational trust has delivered robust aggregation engines that proved competent in estimating the trustworthiness of agents. However, most of these approaches were evaluated through simulation using simple and static agents' popul

Cited by 5

Computational trust in multiplayer online games

Jaideep Srivastava, Muhammad Aurangzeb Ahmad · 2012

Trust is a ubiquitous phenomenon in human societies. Computational trust refers to the mediation of trust via a computational infrastructure. It has been studied in a variety of contexts e.g., peer-to-peer systems, multi-agent systems, recommendation systems etc. While this is an active area of research, the types of questions that have been explored in this field has been limited mainly because of limitations in the types of datasets which are available to researchers. In this thesis questions related to trust in complex social environments represented by Massively Multiplayer Online Games (MMOGs) are explored. The main emphasis is that trust is a multi-level phenomenon both in terms of how it operates at multiple levels of network granularities and how trust relates to other social phenomenon like homophily, expertise, mentoring, clandestine behaviors etc. Social contexts and social environments affect not just the qualitative aspects of trust but this phenomenon is also manifested with respect to the network and structural signatures of trust network Additionally trust is also explored in the context of predictive tasks: Previously described prediction tasks like link prediction are studied in the context of trust within the context of the link prediction family of problems: Link formation, link breakage, change in links etc. Additionally we define and explore new trust-related prediction problems i.e., trust propensity prediction, trust prediction across networks which can be generalized to the inter-network link prediction problem and success prediction based on using network measures of a person's social capital as a proxy.

Cited by 7

Trust beyond reputation: A computational trust model based on stereotypes

Xin Liu, Anwitaman Datta, Krzysztof Rzaḑca · arXiv (Cornell University) · 2011

Models of computational trust support users in taking decisions. They are commonly used to guide users' judgements in online auction sites; or to determine quality of contributions in Web 2.0 sites. However, most existing systems require historical information about the past behavior of the specific agent being judged. In contrast, in real life, to anticipate and to predict a stranger's actions in absence of the knowledge of such behavioral history, we often use our "instinct"- essentially stereotypes developed from our past interactions with other "similar" persons. In this paper, we propose StereoTrust, a computational trust model inspired by stereotypes as used in real-life. A stereotype contains certain features of agents and an expected outcome of the transaction. When facing a stranger, an agent derives its trust by aggregating stereotypes matching the stranger's profile. Since stereotypes are formed locally, recommendations stem from the trustor's own personal experiences and perspective. Historical behavioral information, when available, can be used to refine the analysis. According to our experiments using Epinions.com dataset, StereoTrust compares favorably with existing trust models that use different kinds of information and more complete historical information.

Cited by 0Open access

Computational Models for Medical Devices: Building Trust

Rodriguez, Paulina · Figshare · 2023

This is a seminar presentation with a high overview about a collection of credibility and trust building activities for risk informed decision making. This is meant as a starting point for diving deeper into credibility and reproducibility activities.

Cited by 0Open access

Computational Models for Medical Devices: Building Trust

Rodriguez, Paulina · Figshare · 2023

This is a seminar presentation with a high overview about a collection of credibility and trust building activities for risk informed decision making. This is meant as a starting point for diving deeper into credibility and reproducibility activities.

Cited by 0Open access