نتایج جستجو برای: can throw agents trust to his polices
تعداد نتایج: 10864929 فیلتر نتایج به سال:
Existing approaches to calculate trust between agents rely on the strength of their relationships based on their degrees of friendship, the frequencies of their interactions, the sentiments extracted from their interactions, and so on. These approaches rely heavily on numerical measures and disregard the deep structure underlying trust. By contrast, we establish the idea of trust among agents b...
In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these kinds of open systems, the agents do not necessarily use the same, or even similar, trust models, leading to semantic differences between trust evaluations in the different agents. Hence, to successfully use communicated trust evaluations, the agents need to align their...
vocabulary as a major component of language learning has been the object of numerous studies each of which has its own contribution to the field. finding the best way of learning the words deeply and extensively is the common objective of most of those studies. however, one effective way for achieving this goal is somehow neglected in the field. using a variety of activities such as games can r...
the present paper investigates how far ideologies can be tease out in discourse by examining the employed schemata by two ideologically opposed news media, the bbc and press tv, to report syria crisis during a period of nine months in 2011. by assuming that news is not a valuefree construction of facts and drawing on micro structural approach of schema theory, for the first time in discours...
type text or a website address or translate a document. abstract liquidity is considered the most important aspect of the development of stock markets. the main objective of this study was to evaluate the effect of the quality of financial information provided to replace its financial statements nmvdh and shrkt hayy that the liquidity of the shares on the tehran stock exchange is between the ...
Trust networks are directed weighted graphs whose nodes represent agents and edges represent trust between agents. This paper proposes a trust-based recommendation approach, which can recommend trustworthy agents to a requester in a trust network. We consider a good recommendation as one to an agent that the requester’s trusted neighbors trust highly. We relate the recommendation problem to the...
In this paper, we show that mobile code technology may prove to be a useful tool in advanced cryptographic protocols for secure distributed computing. Secure distributed computing addresses the problem of performing a computation with a number of mutually distrustful participants, in such a way that each of the participants has only limited access to the information needed for doing the computa...
Trust and reputation are vital concepts in multiagent systems where diverse, self-interested agents interact in pursuit of their own goals. While much work to date has focussed on enabling agents to form beliefs about the trustworthiness of potential delegation partners, the problem of deciding to trust on the basis of such beliefs has received relatively little attention. Without a model of tr...
Ad-hoc collaboration is a newly emerged environment enabling distributed collaborators to share resources. The dynamic nature and unique sharing pattern in ad-hoc collaboration poses great challenges for security services to accommodate both access control and trust management requirements in providing controlled resource sharing. In this paper, we propose a comprehensive, integrated and implem...
Autonomous agents require trust and reputation concepts in order to identify communities of agents with which to interact reliably in ways analogous to humans. Agent societies are invariably heterogeneous, with multiple decision making policies and actions governing their behaviour. Through the introduction of naive agents, this paper shows empirically that while learning agents can identify ma...
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