entropy as increasing disorder - bataillean expenditure: cooling down of sun - sun expends forcing us to overproduction and waste - entropy forces waste for bataille - lower entropy in sun, higher entropy in world (Bois 34)
"such regulation is never successful because always insufficient" - cooling down of words into cliches - information theory entropy - carl einstein opposes in critical dictionary (36)
entropy/expenditure "was inevitable and its effectiveness depended on no one's will" (37)
reichenbach - crisis of causality (pubbed in documents) - 2nd law of thermodynamics (carnot's discovery of mechanical heat loss) "is in fact nothing but a statistical principle") (37)
poussiere - "entropic nightmare" one day or another, given its presistence... dust will probably begin to gain the upper hand over the servants, pouring immense amounts of rubbish into abandoned buildings and desrted stockyards: and, at that distant epoch, nothing will remain to ward off night terrors, in the absence of which we have become such great bookkeepers." (bataille - documents 1 no.5 p.278) (38)
169 - 178 - entropic series of messages - dubuffet 1944
Bois. Formless: a user guide Zone Books, 1997
Introduction Abstraction plays a critical role in scientific inquiry, helping scientists to model complex natural systems in a way that simplifies reality while still capturing essential features. In the context of scientific representations, abstraction refers to the process of distilling complex phenomena into more manageable forms, often using models, symbols, and mathematical expressions. These simplified representations allow scientists to focus on key aspects of a system, predict behaviors, and conduct experiments in a controlled, conceptual space. In this article, we explore how abstraction in scientific models enables a deeper understanding of the natural world and how it has evolved alongside scientific discovery. What is Abstraction in Science? Abstraction in science refers to the act of reducing the complexity of real-world systems to focus on specific aspects of interest. This reduction simplifies complex phenomena, making it easier to understand, manipulate, and predict th...