Evolutionary-inspired approach to compare trust models in agentn   simulations

Carbo Javier; Molina Jose M.

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Evolutionary-inspired approach to compare trust models in agentn simulations

机译：在Agentn模拟中比较信任模型的进化启发方法

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In many dynamic open systems, agents have to interact with one another to achieve their goals. These interactions pose challenges in relation to the trust modeling of agents which aim to facilitate an agent's decision making regarding the uncertainty of the behaviour of its peers. A lot of literature has focused on describing trust models, but less on evaluating and comparing them. The most extensive way to evaluate trust models is executing simulations with different conditions and a given comb

机译：在许多动态开放系统中，代理必须相互交互才能实现其目标。这些交互对代理的信任建模提出了挑战，这些信任旨在促进代理就其对等方行为的不确定性做出决策。许多文献集中于描述信任模型，而较少评估和比较它们。评估信任模型的最广泛方法是在不同条件下并通过给定梳理执行模拟

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来源
《AI communications》 |2015年第3期|429-440|共12页
作者
Carbo Javier; Molina Jose M.;
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作者单位

Univ Carlos III Madrid, Dept Comp Sci, Grp Appl Artificial Intelligence, Madrid 28270, Spain.;

Univ Carlos III Madrid, Dept Comp Sci, Grp Appl Artificial Intelligence, Madrid 28270, Spain.;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Trust models; autonomous agents; evolutionary game theory;

机译：信任模型;自治主体;演化博弈论;

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Evolutionary-inspired approach to compare trust models in agentn simulations

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