首页> 外文会议>Eighth Neural Computation and Psychology Workshop; 20030828-30; University of Kent(GB) >THE SIMULATION OF CHARACTER PRODUCTION BEHAVIOURS IN CONNECTIONIST NETWORKS
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THE SIMULATION OF CHARACTER PRODUCTION BEHAVIOURS IN CONNECTIONIST NETWORKS

机译:连接网络中角色生成行为的仿真

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In order to draw (or copy) a character, a process of linearising takes place. In this process the complete static form of the character is broken down into a temporal sequence of strokes for graphic production. According to Thomassen, Meulenbroek and Tibosh, individuals develop their own production rule base, which is reflected as tendencies or strategies for graphic production. Occasionally, these principles of production come into conflict resulting in a variable sequence of production for some characters. The work described in this paper uses a connectionist modeling approach to investigate the emergence of production-based behaviours in the sequential production of characters. Here, the emergence of human-like production behaviours is simulated, without the need for explicitly imposed heuristics. Demonstrating that not only are connectionist networks capable of emulating the production-sequence behaviour of humans, but also that rule-like tendencies can emerge naturally upon the basis of learning.
机译:为了绘制(或复制)字符,需要进行线性化处理。在此过程中,将字符的完整静态形式分解为用于图形制作的笔画的时间序列。根据Thomassen,Meulenbroek和Tibosh所说,个人建立了自己的生产规则库,这反映为图形生产的趋势或策略。有时,这些生产原则发生冲突,导致某些角色的生产顺序可变。本文描述的工作使用连接主义建模方法来研究在字符的顺序生产中基于生产的行为的出现。在这里,模拟了类似人的生产行为的出现,而无需明确施加启发式方法。证明连接主义网络不仅能够模仿人类的生产顺序行为,而且在学习的基础上自然会出现类似规则的趋势。

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