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Knowledge Generation as Natural Computation

机译:作为自然计算的知识生成

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Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data →information → knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agent's ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a process that may be modeled as natural computation in order to be better understood and improved.
机译:可以通过采用认知和进化方法的计算模型来自然化知识的产生。在此框架中,知识被视为输入数据(数据→信息→知识)结构化的结果,该过程是在与环境的自适应相互作用过程中,代理程序中进行的交互式计算过程所产生的,通过提高代理程序的能力,可以清楚地展现开发优势。应对形势动态。本文讨论了知识生成的机制,该过程可以建模为自然计算,以便更好地理解和改进。

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