By Adam Wierzbicki (auth.)
ISBN-10: 3642134505
ISBN-13: 9783642134500
ISBN-10: 3642134513
ISBN-13: 9783642134517
This e-book is an try and deliver nearer the higher imaginative and prescient of the advance of Social Informatics. Social Informatics should be de?ned as a self-discipline of informatics that experiences how details platforms can observe social targets, use social recommendations, or develop into resources of data approximately social phenomena. All of those study instructions are found in this e-book: equity is a social aim; belief is a social idea; and lots more and plenty of this e-book bases at the examine of lines of net auctions (used additionally to force social simulations) which are a wealthy resource of data approximately social phenomena. The ebook has been written for an viewers of graduate scholars operating within the quarter of informatics and the social sciences, in an try and bridge the distance among the 2 disciplines. due to this, the publication avoids using over the top mathematical formalism, in particular in bankruptcy 2 that makes an attempt to summarize the theoretical foundation of the 2 disciplines of belief and fa- ness administration. Readers tend to be directed to quoted literature for the aim of learning mathematical proofs of the brought up theorems.
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Additional resources for Trust and Fairness in Open, Distributed Systems
Sample text
In some contexts, fair individual behavior is reciprocal behavior. In other contexts, altruistic behavior is expected of agents (for example in the case of a parent caring for a child). Therefore, most of the reasoning that applies to individual fairness would also apply to agents that behave reciprocally or altruistically, in an appropriate context. On the other hand, sometimes reciprocity and altruism are not individually fair behavior (a salesperson would not behave fair if he altruistically gave goods away for free).
In these areas of research, the term “altruism” is often used to describe cooperative behavior towards unrelated strangers [7, 61]. According to evolutionary anthropology, cooperation should be rare and limited to next of kin and sexual partners. Up to recent times, the dominant paradigm in this area of research has been that of rational, selfish behavior. However, recent research has demonstrated that this assumption does not apply to most social groups in a cross-cultural study [61], and that humans have social preferences that support large-scale cooperation.
This type of adversary has been described by [34], who suggested making agents anonymous could prevent their discrimination. However, this approach cannot be used in all cases, and reputation systems are therefore still vulnerable to discrimination. 2. Reputation is a well studied concept, and strong evidence exists concerning the use of reputation by human agents. This evidence comes first from economics, where the concept of reputation is well known. Not only is reputation the subject of study in marketing research; economists have studied here, for example, how reputation impacts the prices of goods and sales volume, also in online systems [139, 140, 41, 62].
Trust and Fairness in Open, Distributed Systems by Adam Wierzbicki (auth.)
by George
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