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首页> 外文会议>International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004(AESCS'04); 20040527-29; Kyoto University(JP) >Evaluation Criteria for Learning Mechanisms applied to Agents in a Cross-Cultural Simulation
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Evaluation Criteria for Learning Mechanisms applied to Agents in a Cross-Cultural Simulation

机译：跨文化模拟中应用于主体的学习机制的评估标准

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摘要

In problems with non-specific equilibrium, common in social sciences, the processes involved in learning mechanisms can produce quite different outcomes. However, it is quite difficult to define which of the learning mechanisms is the best. When considering the case of a cross-cultural environment, it is necessary to evaluate how adaptation to different cultures occurs while keeping, at some level, the cultural diversity among the groups. This paper focuses on identifying an evaluation criterion using a comparison of various learning mechanisms that can manage the trade-off between adaptation to a new culture and the preservation of cultural diversity. Results show that: (a) For small and gradual accuracy from a less accurate learning mechanism, there is a tiny reduction in the diversity while the convergence time drops rapidly. For an accuracy level close to the most accurate learning mechanism, a reduction of the convergence time can be minor, while the diversity drops rapidly; (b) The evaluation of learning mechanism that performs better for fast converging while simultaneously keeping a good diversity before the convergence was performed graphically.
机译：在社会科学中普遍存在的非特定均衡问题中，学习机制所涉及的过程可能会产生完全不同的结果。然而，很难定义哪种学习机制是最好的。在考虑跨文化环境的情况时，有必要评估在适应不同文化的同时如何在一定程度上保持群体之间的文化多样性。本文着重于通过比较各种学习机制来确定一种评估标准，这些学习机制可以解决在适应新文化和保持文化多样性之间的权衡问题。结果表明：（a）对于来自不太精确的学习机制的渐进式精确度，多样性几乎没有减少，而收敛时间却迅速下降。对于接近最精确的学习机制的精度水平，收敛时间的减少可能很小，而多样性却迅速下降。 （b）在以图形方式进行收敛之前，对快速收敛，同时保持良好多样性的学习机制的评估。

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