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'What if?' Dealing with uncertainity in Repage's mental landscape

机译：“如果什么？”处理Repage的心理状况中的不确定性

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摘要

This paper is focused on cognitive decision-making about how to solve inconsistencies and incompleteness in social evaluations (e.g. about potential partners in exchange). We propose a development of Repage, a computational system for forming and updating social evaluations. The system draws upon a fundamental difference between reputation and image as a way out from the trade-off between agents' autonomy and their need to adapt to social environment. A full exploitation of its potentialities includes the activation of a special module, the analyzer, aimed at solving possible inconsistencies, uncertainties and incompleteness in the output of lower level modules by means of inner simulation. In this work, Repage's analyzer architecture is described; some representative examples of problems posed by the planner to the analyzer is discussed and hypothetical simulations are run within this module to find a solution to uncertainty, avoiding at the same time the exceeding complexities of rule-based reasoning and the costs of reinforcement learning.
机译：本文的重点是关于如何解决社会评估中不一致和不完整的认知决策（例如关于交换中潜在的伙伴）。我们建议开发Repage，这是一种用于形成和更新社会评价的计算系统。该系统利用声誉和形象之间的根本差异，作为从代理人的自主权与他们适应社会环境的需求之间进行权衡取舍的出路。充分利用其潜力包括激活一个特殊模块即分析器，该分析器旨在通过内部仿真解决下层模块输出中可能出现的不一致，不确定性和不完整性。在这项工作中，描述了Repage的分析器体系结构。讨论了计划者对分析器提出的一些代表性问题，并在该模块中运行了假设模拟，以找到不确定性的解决方案，同时避免了基于规则的推理的复杂性和强化学习的成本。

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