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Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities

机译:将纯净和不纯迭代囚徒困境推广到无穷小和无穷小情况

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In this work, a generalization of both Pure and Impure iterated Prisoner's Dilemmas is presented. More precisely, the generalization concerns the use of non-Archimedean quantities, i.e., payoffs that can be infinite, finite or infinitesimal and probabilities that can be finite or infinitesimal. This new approach allows to model situations that cannot be adequately addressed using iterated games with purely finite quantities. This novel class of models contains, as a special case, the classical known ones. This is an important feature of the proposed methodology, which assures that we are proposing a generalization of the already known games. The properties of the generalized models have also been validated numerically, by using a Matlab simulator of Sergeyev's Infinity Computer.
机译:在这项工作中,对纯净和不纯净迭代囚徒困境进行了概括。更确切地说,归纳涉及非阿基米德量的使用,即,收益可以是无限的,有限的或无穷小的,而概率可以是有限的或无穷小的。这种新方法允许对使用纯有限数量的迭代游戏无法充分解决的情况进行建模。作为一种特殊情况,这类新颖的模型包含经典的已知模型。这是拟议方法的重要特征,可确保我们对已知游戏进行了概括。通过使用Sergeyev的Infinity Computer的Matlab模拟器,还对数值化的通用模型的属性进行了数值验证。

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