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Birkhoff's aesthetics, Arnheim's entropy. Some remarks on complexity and fuzzy entropy in arts

机译:伯克霍夫(Birkhoff)的美学,阿恩海姆(Arnheim)的熵。关于艺术的复杂性和模糊熵的一些评论

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A judgement of aesthetic in arts is, by sheer consensus, a daunting task that requires evaluation of a whole host of endogenous and exogenous cultural factors. A few of them can actually provide very useful hints in tackling foundational problems in Information Science in a more natural setting than what is usually provided by a typical engineering stance. This interaction can however work the other way about, as instruments from the Information and Computer Science toolkit may help in focusing the less explored features of art and its evaluation. When all the social, historical, hermeneutical and political considerations are stripped from the living FLesh of the piece, we lose most of what differentiates creation from description. This notwithstanding, or maybe exactly for this reason, measuring structures is still an important element of artistic judgement, and the folk concept that beauty stems from some sort of order/chaos relationship, formalized by G. D. Birkhoff as the aesthetic measure, requires an adequate and consistent quantification of both factors. Old and new approaches to the problem generally resort to classical definitions of information and entropy (Shannon entropy, Kolmogorov-Solomonoff complexity) and their derivatives, neglecting the fact that compactness and repetition have a different value in arts than in information theory, a confusion of our languages already noted by R. Arnheim. In this paper we discuss a tiny fragment of the general and wide mesh of interactions between information sciences and humanities: a possible, fruitful interaction among such different topics as fuzziness and art, dealing with similarities and differences in measuring fuzziness and information, and the relationship between the informal notion of information and the measures of fuzziness.
机译:通过纯粹的共识,对艺术美学的判断是一项艰巨的任务,需要评估大量的内源性和外源性文化因素。实际上,它们中的一些可以提供比通常的工程姿态通常提供的更为自然的环境中解决信息科学中的基本问题的非常有用的提示。但是,这种交互作用可能会反过来起作用,因为信息和计算机科学工具包中的工具可能有助于集中较少探究的艺术特征及其评估。当所有的社会,历史,解释和政治考虑都从作品的鲜活内容中剔除时,我们将失去大多数将创作与描述区分开的东西。尽管有,也可能正是出于这个原因,测量结构仍然是艺术判断的重要元素,并且由GD Birkhoff正式将其美感源于某种秩序/混乱的关系这一民间观念,作为美学手段,它需要适当且两个因素的定量一致。解决该问题的新旧方法通常采用信息和熵的经典定义(Shannon熵,Kolmogorov-Solomonoff复杂度)及其派生方法,而忽略了紧致性和重复性在艺术中与信息论中具有不同价值的事实,这是对信息学的一种困惑。我们的语言已经由R. Arnheim指出。在本文中,我们讨论了信息科学与人文学科之间广泛而广泛的相互作用的微小片段:模糊性和艺术等不同主题之间可能的富有成果的相互作用,涉及测量模糊性和信息以及它们之间的关系的相似性和差异性在非正式的信息概念和模糊程度之间。

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