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Dancing with Ambiguity

机译:含糊不清地跳舞

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For us humans ambiguity is, I think, a necessary concomitant to complexity. Since we are living systems living systemically, in a complex systemic network of relations, complexity is a given. Thus ambiguity is also a given, though at times we would like to dispose of it or ignore it. In this paper I will approach the topic of ambiguity via some common metaphors, a parable, and through my understanding of biology, language, culture, cybernetics and systems. I began working with simulation models in the late 1960s, using punch cards and one-day batch processing at the University of California Berkeley campus computer center. As the complexity of our computing systems grew, I like many of my colleagues, became enchanted with this new possibility of dealing with complexity. Simulation models enabled us to consider many interrelated variables and to expand our time horizon through projection of the consequences of multiple causal dynamics, that is, we could build systems. Of course, that is exactly what we did, we built systems that represented our understanding, even though we may have thought of them as mirrors of the systems we were distinguishing as such. Like others, I eventually became disenchanted with what I came to regard as a selected concatenation of linear and quasi-linear causal relations.
机译:对于我们来说,人类的模棱两可是复杂性所必需的。由于我们是系统地生活的生命系统,因此在复杂的系统关系网络中,复杂性是给定的。因此,歧义性也是一种给定的东西,尽管有时我们希望处理它或将其忽略。在本文中,我将通过一些常见的隐喻,一个寓言以及我对生物学,语言,文化,控制论和系统的理解来解决歧义的话题。我在1960年代后期开始使用仿真模型,在加州大学伯克利分校的校园计算机中心使用打孔卡和一日批处理。随着计算系统复杂性的提高,我和许多同事一样,对这种处理复杂性的新可能性着迷了。仿真模型使我们能够考虑许多相互关联的变量,并通过预测多种因果动力的结果来扩展我们的时间范围,也就是说,我们可以构建系统。当然,这正是我们所做的,我们构建了代表我们理解的系统,即使我们可能认为它们是我们正在区分的系统的镜像。像其他人一样,我最终对我认为是线性和准线性因果关系的选定级联感到失望。

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