RConstituting Objectivity, Bitbol, Kerszberg, Petitot

Alternatively, one could start from  “process people” like Laozi, Zhuangzi, Whitehead, Deleuze, instead, and bypass reconstruction of scaffolding that may not be necessary if we pass directly to an ontogenetic, processualist approach.

X

On Apr 10, 2019, at 7:49 AM, sxw asu <sxwasu@gmail.com> wrote:

Constituting Objectivity: Transcendental Perspectives on Modern Physics

Editors: Bitbol, Michel, Kerszberg, Pierre, Petitot, Jean (Eds.)


is a very interesting and profound project — see abstract below.  But it’s no accident that they call this project  constituting rather than historicizing objectivity.  So I’d be interested in how Andres (sp?) differs from Bitbol, Petitot et al.  It’s a  distinction that I’d like to understand better in conversation.




In recent years, many philosophers of modern physics came to the conclusion that the problem of how objectivity is constituted (rather than merely given) can no longer be avoided, and therefore that a transcendental approach in the spirit of Kant is now philosophically relevant. The usual excuse for skipping this task is that the historical form given by Kant to transcendental epistemology has been challenged by Relativity and Quantum Physics. However, the true challenge is not to force modern physics into a rigidly construed static version of Kant's philosophy, but to provide Kant's method with flexibility and generality. 

In this book, the top specialists of the field pin down the methodological core of transcendental epistemology that must be used in order to throw light on the foundations of modern physics. First, the basic tools Kant used for his transcendental reading of Newtonian Mechanics are examined, and then early transcendental approaches of Relativistic and Quantum Physics are revisited. Transcendental procedures are also applied to contemporary physics, and this renewed transcendental interpretation is finally compared with structural realism and constructive empiricism. The book will be of interest to scientists, historians and philosophers who are involved in the foundational problems of modern physics.

sc for Improvisatory event, LASG Toronto 2019

See: http://topologicalmedialab.net/xinwei/papers/slides/sc_improvisatory_event

Improvisatory events using sc, a software suite for composing continuously-evolving responsive environments

1 March 2019, OCAD, Toronto Living Architecture Systems Group Symposium

Brandon Mechtley, Connor Rawls, Julian Stein, Todd Ingalls, Sha Xin Wei Synthesis @ ASU

Re: Only one sc.texture.rotate: SC Texture Rotation objects

This is an interesting challenge for Max.  The scaled coordinates is interesting — after all, jit.matrix objects cast cell values  0..255 to 0.0..1.0.   But at this point it seems like we are doing Live/Cycling74’s job.  If I set up a conversation with Live / Zicarelli, can one of Todd or Brandon carry it on?  Maybe it’s time to show this to Luke first for an opinion.  He may simply ignore matrices and just go to GL, but then again he doesn’t seem to teach his students  very much (Mas, Swift) media processing compared to DC/

 I don’t know how we can get around the differences that Todd points out without re-writing every sc.texture object with some pre-processor…— which seems infeasible, or prohibitively costly in execution.

Mathematica uses its elegant pattern-rewrite  (LISP-like) , late-binding semantics to define objects by concept rather than implementation.  For example one big different between Maple and Mathematica is that 

Maple has ugly and confusing synonyms based on implementation rather than function, e.g. sin(x) was a numerical operator vs Sin)x) was symbolic (could be symbolically differentiated or integrated.).   In  Mathematica, we have 
Sin(x)
and an operator N[_] which tries to numerically evaluate down the parse tree whatever expression is inside it.  E.g. 

Sin[x] ~ Sin(x)
N[Sin[x]]  ~  sin(x)

Good language design relieves programmer having to keep track of numerical efficiency implementations at the function or variables level.


On Feb 27, 2019, at 2:40 PM, Todd Ingalls <TestCase@asu.edu> wrote:

i think instead of simple we could use another term but it is not possible to decide which one to use  based on arguments. we could put it in one and have  a switched called accelerated or something but not sure how confusing that would be 




Todd Ingalls
Research Professor
Assistant Director
School of Arts, Media and Engineering - ame.asu.edu
Synthesis Center - synthesiscenter.net
Arizona State University
Stauffer B 245
ame.asu.edu/faculty/todd

On Feb 27, 2019, at 12:20 PM, sxw asu <sxwasu@gmail.com> wrote:

In general can we please name objects
using full words (no abbreviations!)

and with descriptions of what they do.

Also instead of * and *.simple

can we please fold them into one object named
sc.texture.rotate

let’s  NOT clutter up our name space w synonyms.

If you insist on optimization, find a way  hide both versions under the hood and invoke the appropriate version by scanning the arguments
typed in by the programmer.

Xin Wei

Niklas Damiris: Insights from quantum physics and finance for alternate economies-ecologies

Synthesis Presents

Niklas Damiris
Insights from quantum physics and finance for alternate economies-ecologies

5:00 - 6:30 PM February 14
Stauffer B204
Arizona State University

How can insights from quantum physics refresh our approach to our profoundly intertwined ecological / economic challenges?  I argue that the quantum appears weird only because we interpret it through entrenched cybernetic categories like ‘information’, ‘feedback’, ‘observation’, and ‘data-base’, which become problematic in a world characterized by indeterminacy, negative probabilities, non-locality and measurement effects.  Furthermore, this world is not confined to the small as is often claimed.
 
I propose that we institute a new ecologically attuned economic practice based on finance approached as a quantum phenomenon.  Such an endeavor presupposes that those who participate in it ‘have skin in the game’ and their aim is not to discount the future, but to enable it by facing courageously its indeterminacy and the freedom it affords.

BIO

Niklas Wild Damiris is a theoretical physicist turned economic theorist.  He lived in Silicon Valley for over 25 years working as research scientist in well-known think tanks there including: Xerox PARC, Apple Advanced Technology Group, IBM Almaden Research Center.

He co-founded start-ups in Silicon Valley including: Pliant sociotechnical systems, Capitalizing Communities, and Streme quantum cognition.

Dr. Damiris has been a visiting scholar and occasional lecturer at Stanford University for many years, as well as : Consulting Professor, Laboratory for Monetary Research, Department of Economics, University of Lugano, Switzerland;  Special Assistant to the the Dean of Humanities, University of California Santa Cruz;  Visiting Professor, Copenhagen Business School;  Corresponding member of Institut de Recherche et d’Innovation, Paris;   Affiliate Researcher at  the Topological Media Lab Montreal;  and Affiliate Researcher at Synthesis ASU.

Chair of Arts & Sciences : Behavioural Matter Calendar 2019 / France, LADHYX Polytechnique … UC Davis

A friend of Oana and mine —  Jean-Marc Chomaz, Director of the LADHYX Hydrodynamics lab / École Polytechnique ( the top science and technology school in France) —  has formed the  "La Chaire arts & science", with partners funded by the Carasso Foundation.  The attached PDF has a calendar of events for 2019.

NOTE in particular the conference on Garden + Sky + Water June 12-15 in Paris.
and the workshops and events in Pompidou and UC Davis on behavioural matter.

We probably cannot project to these events this summer, but should visit, at least stay in touch with Jean-Marc, et al.

Xin Wei


The Chaire arts & sciences is pleased to present some of its 2019 main events :
-  the Behavioral Matter project in partnership with EnsAD and the Pompidou Center (Feb-Mar);
-  the Exoplanète Terre initiative (presentation on March 22 at EnsAD), in partnership with a dozen cultural organizations in Île-de-France; 
- the interdisciplinary conference Garden the Sky Water from June 12 to 15, to explore our relationship to water in the sky and in the atmosphere from a scientific, artistic, philosophical and ecological point of view;
- our first Summer School in September -  an intensive week of hands-on workshops at École Polytechnique, jointly organized with UC Davis and EnsAD.

Looking forward to see you!
Begin forwarded message:

Subject: :: Chaire arts & sciences :: Calendrier 2019 / Main events
Date: February 7, 2019 at 8:19:24 AM GMT-5

Bonjour,

La Chaire arts & sciences est heureuse de vous présenter ses temps forts 2019, parmi lesquels le développement du projet Behavioral Matter en partenariat avec l'EnsAD et le Centre Pompidou (fév-mars), le lancement de l'initiative Exoplanète terre le 22 mars, en partenariat avec une dizaine de structures culturelles en Île-de-France, l'organisation d'un colloque interdisciplinaire Garden the Sky Water du 12 au 15 juin pour explorer notre rapport à l'eau dans le ciel et dans l'atmosphère, ou encore la tenue en septembre de notre première Summer School - semaine ateliers de recherche par la pratique à l'École polytechnique, conjointement organisée avec UC Davis et l'EnsAD du 9 au 13 septembre 2019.

Au plaisir de vous y retrouver,

L'équipe de la Chaire arts & sciences

Evan Thompson et al: The Blind Spot of Science Is the Neglect of Lived Experience


Aeon 8 Jan 2019 essay "The Blind Spot of Science Is the Neglect of Lived Experience"
by Adam Frank, Marcelo Gleiser, Evan Thompson

The problem of time is one of the greatest puzzles of modern physics. The first bit of the conundrum is cosmological. To understand time, scientists talk about finding a ‘First Cause’ or ‘initial condition’ – a description of the Universe at the very beginning (or at ‘time equals zero’). But to determine a system’s initial condition, we need to know the total system. We need to make measurements of the positions and velocities of its constituent parts, such as particles, atoms, fields and so forth. This problem hits a hard wall when we deal with the origin of the Universe itself, because we have no view from the outside. We can’t step outside the box in order to look within, because the box is all there is. A First Cause is not only unknowable, but also scientifically unintelligible. 

The second part of the challenge is philosophical. Scientists have taken physical time to be the only real time – whereas experiential time, the subjective sense of time’s passing, is considered a cognitive fabrication of secondary importance. The young Albert Einstein made this position clear in his debate with philosopher Henri Bergson in the 1920s, when he claimed that the physicist’s time is the only time. With age, Einstein became more circumspect. Up to the time of his death, he remained deeply troubled about how to find a place for the human experience of time in the scientific worldview.

These quandaries rest on the presumption that physical time, with an absolute starting point, is the only real kind of time. But what if the question of the beginning of time is ill-posed? Many of us like to think that science can give us a complete, objective description of cosmic history, distinct from us and our perception of it. But this image of science is deeply flawed. In our urge for knowledge and control, we’ve created a vision of science as a series of discoveries about how reality is in itself, a God’s-eye view of nature.

Such an approach not only distorts the truth, but creates a false sense of distance between ourselves and the world. That divide arises from what we call the Blind Spot, which science itself cannot see. In the Blind Spot sits experience: the sheer presence and immediacy of lived perception.

not in our genes, it's the wet, open-ended, adaptive dynamics that matter

http://nautil.us/issue/68/context/its-the-end-of-the-gene-as-we-know-it


We’ve all seen the stark headlines: “Being Rich and Successful Is in Your DNA” (Guardian, July 12); “A New Genetic Test Could Help Determine Children’s Success” (Newsweek, July 10); “Our Fortunetelling Genes” make us (Wall Street Journal, Nov. 16); and so on. The problem is, many of these headlines are not discussing real genes at all, but a crude statistical model of them, involving dozens of unlikely assumptions. Now, slowly but surely, that whole conceptual model of the gene is being challenged.

We have reached peak gene, and passed it.

First, laboratory experiments have shown how living forms probably flourished as “molecular soups” long before genes existed. They self-organized, synthesized polymers (like RNA and DNA), adapted, and reproduced through interactions among hundreds of components. That means they followed “instructions” arising from relations between components, according to current conditions, with no overall controller: compositional information, as the geneticist Doron Lancet calls it.

In this perspective, the genes evolved later, as products of prior systems, not as the original designers and controllers of them. More likely as templates for components as and when needed: a kind of facility for “just in time” supply of parts needed on a recurring basis.



Then it was slowly appreciated that we inherit just such dynamical systems from our parents, not only our genes. Eggs and sperm contain a vast variety of factors: enzymes and other proteins; amino acids; vitamins, minerals; fats; RNAs (nucleic acids other than DNA); hundreds of cell signalling factors; and other products of the parents’ genes, other than genes themselves.

Molecular biologists have been describing how those factors form networks of complex interactions. Together, they self-organize according to changing conditions around them. Being sensitive to statistical patterns in the changes, they anticipate future states, often creating novel, emergent properties to meet them.



— CONTINUED —

Your brain does not process information, retrieve knowledge or store memories. In short: your brain is not a computer

https://aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer

Robert Epstein

No matter how hard they try, brain scientists and cognitive psychologists will never find a copy of Beethoven’s 5th Symphony in the brain – or copies of words, pictures, grammatical rules or any other kinds of environmental stimuli. The human brain isn’t really empty, of course. But it does not contain most of the things people think it does – not even simple things such as ‘memories’.

Our shoddy thinking about the brain has deep historical roots, but the invention of computers in the 1940s got us especially confused. For more than half a century now, psychologists, linguists, neuroscientists and other experts on human behaviour have been asserting that the human brain works like a computer.

To see how vacuous this idea is, consider the brains of babies. Thanks to evolution, human neonates, like the newborns of all other mammalian species, enter the world prepared to interact with it effectively. A baby’s vision is blurry, but it pays special attention to faces, and is quickly able to identify its mother’s. It prefers the sound of voices to non-speech sounds, and can distinguish one basic speech sound from another. We are, without doubt, built to make social connections.

A healthy newborn is also equipped with more than a dozen reflexes – ready-made reactions to certain stimuli that are important for its survival. It turns its head in the direction of something that brushes its cheek and then sucks whatever enters its mouth. It holds its breath when submerged in water. It grasps things placed in its hands so strongly it can nearly support its own weight. Perhaps most important, newborns come equipped with powerful learning mechanisms that allow them to change rapidly so they can interact increasingly effectively with their world, even if that world is unlike the one their distant ancestors faced.

Senses, reflexes and learning mechanisms – this is what we start with, and it is quite a lot, when you think about it. If we lacked any of these capabilities at birth, we would probably have trouble surviving.

But here is what we are not born with: information, data, rules, software, knowledge, lexicons, representations, algorithms, programs, models, memories, images, processors, subroutines, encoders, decoders, symbols, or buffers – design elements that allow digital computers to behave somewhat intelligently. Not only are we not born with such things, we also don’t develop them – ever.

We don’t store words or the rules that tell us how to manipulate them. We don’t create representations of visual stimuli, store them in a short-term memory buffer, and then transfer the representation into a long-term memory device. We don’t retrieve information or images or words from memory registers. Computers do all of these things, but organisms do not.

Computers, quite literally, process information – numbers, letters, words, formulas, images. The information first has to be encoded into a format computers can use, which means patterns of ones and zeroes (‘bits’) organised into small chunks (‘bytes’). On my computer, each byte contains 8 bits, and a certain pattern of those bits stands for the letter d, another for the letter o, and another for the letter g. Side by side, those three bytes form the word dog. One single image – say, the photograph of my cat Henry on my desktop – is represented by a very specific pattern of a million of these bytes (‘one megabyte’), surrounded by some special characters that tell the computer to expect an image, not a word.

Computers, quite literally, move these patterns from place to place in different physical storage areas etched into electronic components. Sometimes they also copy the patterns, and sometimes they transform them in various ways – say, when we are correcting errors in a manuscript or when we are touching up a photograph. The rules computers follow for moving, copying and operating on these arrays of data are also stored inside the computer. Together, a set of rules is called a ‘program’ or an ‘algorithm’. A group of algorithms that work together to help us do something (like buy stocks or find a date online) is called an ‘application’ – what most people now call an ‘app’.

Forgive me for this introduction to computing, but I need to be clear: computers really do operate on symbolic representations of the world. They really store and retrieve. They really process. They really have physical memories. They really are guided in everything they do, without exception, by algorithms.

Humans, on the other hand, do not – never did, never will. Given this reality, why do so many scientists talk about our mental life as if we were computers?


— CONTINUED —

Re: Synthesis next week: demonstrating results, extended campfire

I teach during this time (12:00 - 3:00) on Tuesdays. Maybe we could demo lounge systems last?

Best,
Byron

On Wed, Nov 21, 2018 at 7:03 AM sxw asu <sxwasu@gmail.com> wrote:
Hi Everyone,

Let's do as we can an extended campfire Tuesday Nov 27 afternoon 1:30 - 3:30 in iStage / Lounge to demonstrate what’s been done this semester.  

For example:

Stauffer
• Cafe / Leslie, Connor, Yanjun, Christy (walk to Stauffer Lounge)
• Stauffer Lounge tour / Byron
• ? Lamps / Alexia

iStage 
• Cafe / Leslie, Connor, Yanjun, Christy (walk to Stauffer Lounge)
• Lamps / Alexia
• Thermal economies; light games / Garrett, Andrew
• Modalys instruments; physical modeling /  Emiddio
• State engine workshop: Brandon (bring your own laptops + sc)

Please add to this what else you’d like to see / show from this Fall.
Since this week we don’t have Synthesis ops — American Thanksgiving! — confirm by email.

Megan, can we document this?  Everyone do also take your own pictures for respective project pages…


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Byron Lahey, PhD
Arizona State University
School of Arts, Media and Engineering
Assistant Professor, Digital Culture
Honors Faculty
byron.lahey@asu.edu