Theory, Knowledge and Science Commons^™

Performativity Of Models, Rajesh Venkatachalapathy

Systems Science Friday Noon Seminar Series

Inspired by Latour's work in social studies of science and technology, Callon, MacKenzie and others developed a performativity critique of economics. Building on this, Healy (2015) recently discussed the performativity of network models. While useful, I move away from French continental philosophy to avoid unavoidable comparisons with Foucauldian conceptions of performativity. Instead, I use ideas from vanilla historical sociology of science and technology and cognitive science to understand performativity.

I first discuss Healy's critique of network models. Keeping with the worst traditions in systems science, I greedily apply this concept to all models in science and engineering by first critiquing …

What If Our Beliefs About A System Are Not Wholly Accurate? What If?, Gary Langford

Systems Science Friday Noon Seminar Series

For most people, a system is a construct with vexing complexities, many many parts, and perhaps wrapped with a goal or intention. Add to that simple construct a set of terminologies that are commonly applied when speaking of “systems” and we just might have veered away from discoveries of imminent importance. Ask yourself, “You said it was a system, but how did that statement help you solve your problem? How far off would we have to be in our perception of systemsness for us to make mistakes of consequence? One Hundred Billion are lost annually in software projects that failed …

The Limits Of Control, Or How I Learned To Stop Worrying And Love Regulation (Discussion), Joshua Hughes

Systems Science Friday Noon Seminar Series

When we want to solve a problem, we talk about how we might manage or regulate—control it. Control is a a central concept in systems science, along with system, environment, utility, and information. With his information-theoretic Law of Requisite Variety, Ashby proved that to control a system we need as much variability in our regulator as we have in our system (“only variety can destroy variety”), something like a method of control for everything we want to control. For engineered systems, this appears to be the case (at least sometimes). But what about for social systems? Does a group of …

What Makes A Meaningful Universe?, Todd Duncan, James Butler

Systems Science Friday Noon Seminar Series

A common line of thinking says that although we feel subjectively that our thoughts and actions matter in some way, this perception is an illusion. According to this view, an honest look around at the universe shatters this myth and reveals that our lives are ultimately meaningless. If we are to be hard-nosed realists, limiting ourselves to scientific, evidence-based reasoning, then we must accept that human existence is an inconsequential accident of no ultimate significance in the grand scheme of things. Is this attitude really justified by the evidence? We'll explore this question by taking a step back and asking …

Holism And Human History, Martin Zwick

Systems Science Friday Noon Seminar Series

This paper uses a systems-theoretic model to structure an account of human history. According to the model, a process, after its beginning and early development, often reaches a critical stage where it encounters some limitation. If the limitation is overcome, development does not face a comparable challenge until a second critical juncture is reached, where obstacles to further advance are more severe. At the first juncture, continued development requires some complexity-managing innovation; at the second, it needs some event of systemic integration in which the old organizing principle of the process is replaced by a new principle. Overcoming the first …

Reconstructability Analysis Of Elementary Cellular Automata, Martin Zwick, Hui Shi

Systems Science Friday Noon Seminar Series

Reconstructability analysis is a method to determine whether a multivariate relation, defined set- or information-theoretically, is decomposable with or without loss (reduction in constraint) into lower ordinality relations. Set-theoretic reconstructability analysis (SRA) is used to characterize the mappings of elementary cellular automata. The degree of lossless decomposition possible for each mapping is more effective than the λ parameter (Walker & Ashby, Langton) as a predictor of chaotic dynamics.

Complete SRA yields not only the simplest lossless structure but also a vector of losses of all decomposed structures, indexed by parameter, τ. This vector subsumes λ, Wuensche’s Z parameter, and Walker …

Criticisms Of Systems Science, Joshua Hughes

Systems Science Friday Noon Seminar Series

A new year often begins with a sense of optimism, but we (ever the contrarians) will begin it with a healthy dose of pessimism. This week's seminar will be a discussion about criticisms of systems science. As Winston Churchill said, "Criticism may not be agreeable, but it is necessary. It fulfills the same function as pain in the human body. It calls attention to an unhealthy state of things." Is the systems project in an unhealthy state? Since its emergence in the 1940s and 1950s, a number of people have believed that to be the case, and a few have …

Creating Insanity In Learning Systems: Addressing Ambiguity Effects Of Predicting Non-Linear Continuous Valued Functions With Reconstructabilty Analysis From Large Categorically Valued Input Data Sets, William D. Eisenhauer

Systems Science Friday Noon Seminar Series

Being told to give two different, and potentially counter, responses to the same stimulus can set up a double bind in humans, leading to a type of insanity. So what how do you deal with it when it comes up quite frequently in modeling through simplification and removal of predictive variables?

In his current dissertation research Ike Eisenhauer is using reconstructability analysis to implement K-System, U-System, and B-System approaches to predict a continuously valued function through discrete categorically valued input variables [e.g. textual data]. One of the key issues is how to address the inability of K-Systems and U-Systems to …

Generalists, Specialists, And The Best Experts: Where Do Systems Thinkers Fit In?, Joshua Hughes

Systems Science Friday Noon Seminar Series

GENERALIST / SPECIALIST: A generalist is someone who has studied a little bit of everything, and in the end knows nothing well in particular. By contrast, a specialist is someone who has studied a single subject, and as a consequence does not even know his own subject, because every item of knowledge is related to other components of the whole system. The good scholar or scientist--like the good chef, manager, clinician, or orchestra conductor--is an expert in one field or craft, and knowledgeable in many. Like a mouse, he can explore the details of a terrain; and, like an owl, …