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Emergence of Information Transfer by Inductive Learning

机译:归纳学习的信息传递的出现

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摘要

We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular, we focus on the question whether simple learning rules lead to an efficient transfer of information. We find that reinforcement learning, which is based exclusively on payoff experiences, is inadequate to generate efficient networks of information transfer. Fictitious play, the game theoretic counterpart to Carnapian inductive logic and a more sophisticated kind of learning, suffices to produce efficiency in information transfer.
机译:我们研究了一种简单的信息传递博弈论模型,我们将其视为捕获认识论问题战略方面的基线模型。尤其是,我们关注的问题是简单的学习规则是否会导致信息的有效传递。我们发现仅基于收益经验的强化学习不足以生成有效的信息传递网络。虚拟游戏,与Carnapian归纳逻辑相对应的博弈论理论,以及更复杂的学习方式,足以提高信息传输的效率。

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