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A new cognitive approach based on dynamic evolution of the grey hazy set

机译:基于灰色朦胧集动态演化的新认知方法

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Representation of spatial information in unpredictable environments is restricted by uncertainty, complexity, and unreliability issues of mobile robots and their environments. In this context, a new cognitive approach based on the dynamic evolution of the grey hazy set will be proposed. The dynamic evolution of the grey hazy set is able to emulate human gradually cognitive experience about how to analyze the environment best step by step without needing accurate information. Subsets of the grey hazy set, including embryo set, growing set, mature set and evidence set, possess different but correlative qualitative expression of information on successively cognitive phase. Since it is easy to describe most indoor environments using line-segments, the proposed approach hierarchically utilizes line-segments to represent the environmental information. The example in corridor is provided to verify the effectiveness of the proposed approach in simulating human's intelligence of environmental information expression and reasoning.
机译:在不可预测的环境中空间信息的表示受到移动机器人及其环境的不确定性,复杂性和不可靠性问题的限制。在这种情况下,将提出一种基于灰色朦胧集动态演化的新认知方法。灰色朦胧集的动态演变能够模仿人类逐步认知的经验,即关于如何逐步分析最佳环境而不需要准确的信息。灰色朦胧集的子集,包括胚胎集,生长集,成熟集和证据集,在相继认知阶段具有不同但相关的信息定性表达。由于使用线段描述大多数室内环境很容易,因此所提出的方法可以分层地利用线段来表示环境信息。提供了走廊中的示例,以验证所提出的方法在模拟人类对环境信息表达和推理的智能中的有效性。

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