In logogriph problem solving that is relatively easy, the induced positive emotion significantly promoted the key heuristic information activation.

在中等难度的字谜测试中，正面诱发情绪显著地促进了关键性启发信息的激活。

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The main characteristics of this method are positive feedback, distributed computation, and the use of a constructive greedy heuristic.

这种方法的主要特征是正反馈、分布式计算以及富有建设性的贪婪启发式搜索的运用。

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This paper presents a learning problem from positive examples based on multiple valued minimization paradigm. A new heuristic algorithm for the problem is given.

本文基于多值逻辑函数极小化提出一种正例学习问题，并对这一正例学习问题给出一个启发式学习算法。

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