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首页> 外文会议>International Scientific Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering >Recurrent and multi-layer neural networks playing'Even-Odd':reflection against regression
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Recurrent and multi-layer neural networks playing'Even-Odd':reflection against regression

机译：复发和多层神经网络播放“偶数”：反射反射

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摘要

Reflection understood as an internal representation of the external world by the subject is the key property of consciousness.In a refined form this property is manifested in reflective games.To win a reflective game a player has to use reflection of strictly one rank higher than the opponent.So it can be assumed that there are only two game modes-when only one player uses reflection and wins and when both players use reflection but one of them chooses incorrect reflection rank.The option of random move selection is not considered since firstly,starting the game for a draw is strange,and secondly,it is technically impossible to make random moves without a special device.Experiments with recurrent neural networks playing with each other showed that the entire set of game patterns(time series of the game score)is split into two sharply different groups that can be associated with two modes mentioned above.Experiments,in which a multilayer neural network,which is basically incapable of reflection,played against a recurrent neural network,showed that a recurrent neural network has a clear advantage winning confidently in more than 90% of the games.At the same time game patterns demonstrate splitting into two sharply different groups as was observed in experiments with the game of two recurrent neural networks and in the reflexive game of living people.
机译：被认为是外部世界的内部代表的反思是意识的关键性质。在反思游戏中表现出精致的形式。赢得反光游戏，玩家必须使用严格的一个秩的反射opponent.so可以假设只有两个游戏模式 - 只有一个玩家使用反射和胜利，并且当两个玩家使用反射时，其中一个选择不正确的反射级别。自首先，不考虑随机移动选择的选项。开始游戏的游戏是奇怪的，其次地，在技术上不可能在没有特殊设备的情况下进行随机动作。与经常性神经网络一起玩的考验表明，整套游戏模式（游戏得分的时间序列）分为两个急剧不同的组，可以与上述两种模式相关联。实验，其中多层神经网络，基本上无法重新与经常性神经网络一起播放的浮选表明，经常性的神经网络在超过90％的比赛中自信地获胜。同时游戏模式表明在实验中观察到的两组急剧不同的群体。两种经常性神经网络的游戏和在生活人群的反身比赛中。

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