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Solving large scale block stacking problem: a distributed approach

机译:解决大规模块堆叠问题:分布式方法

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摘要

A distributed approach to large scale block stacking problem is shown, A block is assumed to be an autonomous agent which transmit messages of motion request and activates with each other. Conflicts among agent motions are resolved according to motivation value calculated considering agent's goal dependency, goal position occupation, and mobility. An activated agent determines its destination accoridng to outputs of ANN based behavior function trained using Evolutionary Programming technique. Experimental results show applicability and scalability of the approach up to the case of 200 blocks.
机译:示出了一种解决大规模块堆叠问题的分布式方法,假定一个块是自治的代理,其发送运动请求消息并彼此激活。代理商动作之间的冲突是根据考虑代理商的目标依赖性,目标位置职业和机动性而计算出的动机值来解决的。激活的代理根据使用进化编程技术训练的基于ANN的行为函数的输出来确定其目的地。实验结果表明,该方法的适用性和可扩展性高达200个块。

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