If you are familiar with complex systems theorist Dr. Stuart Kauffman’s ideas you know he covers a broad range of disciplines and concepts, many in considerable depth, and with a keen eye for isomorphic and integrative principles. If you peruse some of his writings and other communications, please share with us how you see Kauffman’s ideas informing our focal interests: brain, mind, intelligence (organic and inorganic), and self-aware consciousness.
Do you find Kauffman’s ideas well supported by empirical research? Which are more scientific and which, if any, more philosophical? What intrigues, provokes, or inspires you? Do any of his perspectives or claims help you better orient or understand your own interests in our focal topics?
Following are a few reference links to get the conversation going. Please add your own in the comments to this post. If you are a member and have a lot to say on a related topic, please create a new post, tag it with ‘Stuart Kauffman,’ and create a link to your post in the comments to this post.
Team Human by Douglas Rushkoff investigates the impacts of current and emerging technologies and digital culture on individuals and groups and seeks ways to evade or extract ourselves from their corrosive effects.
After you read the book, please post your thoughts as comments to this post or, if you prefer, as new posts. There are interviews and other resources about the book online. Feel free to recommend in the comments those you find meaningful. Also, the audiobook is available through the Albuquerque Public Library but may have a long wait queue (I’m aiming for a record number of ‘q’s in this sentence).
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We propose ‘multi-level evolution’, a bottom-up automatic process that designs robots across multiple levels and niches them to tasks and environmental conditions. Multi-level evolution concurrently explores constituent molecular and material building blocks, as well as their possible assemblies into specialized morphological and sensorimotor configurations. Multi-level evolution provides a route to fully harness a recent explosion in available candidate materials and ongoing advances in rapid manufacturing processes.
From this piece located at the publications page of the International Computer Science Institute. “Mathematical models help describe reality, but only by ignoring its inherent integrity.” Computers work on binary logic and the world is full of ‘noise.’ Hence computers, and mathematical models for that matter, can only approximate reality by eliminating that noise.
“Can a bunch of bits represent reality exactly, in a way that can be controlled and predicted indefinitely? The answer is no, because nature is inherently chaotic, while a bunch of bits representing a program can never be so, by definition.”
Which leads us to ask: “Are our mathematical models just a desperate, failed attempt to de-noise an otherwise very confusing, extremely blurred reality?”
So yes, math and computers are quite useful as long as we keep the above in mind instead of assuming they reveal reality as it is. And as long as we also search for that noisy humanity in the spaces between binary logic, which will never be revealed by math or computers alone.
Good quick summary of some of Deacon’s ideas. Deacon: “We need to stop thinking about hierarchic evolution in simple Darwinian terms. We need to think about it both in terms of selection and the loss of selection or the reduction of selection. And that maybe it’s the reduction of selection that’s responsible for the most interesting features” (9:40).
“In this episode of Tech Effects, we explore the impact of music on the brain and body. From listening to music to performing it, WIRED’s Peter Rubin looks at how music can change our moods, why we get the chills, and how it can actually change pathways in our brains.”
For me the most interesting part was later in the video (10:20), how when we improvise we shut down the pre-frontal planning part of the brain and ‘just go with the flow,’ which is our most creative and innovation moments. This though does depend on having used the pre-frontal cortex in learning the techniques of music to get them so ingrained in memory that we are then free to play with what we’ve programmed.
I linked to this article for our recent discussion of brain networks. The abstract is below.
“Here, we organize different definitions of scale-free networks and construct a severe test of their empirical prevalence using state-of-the-art statistical tools applied to nearly 1000 social, biological, technological, transportation, and information networks. Across these networks, we find robust evidence that strongly scale-free structure is empirically rare, while for most networks, log-normal distributions fit the data as well or better than power laws.”
Mark suggested this book as a future group reading and discussion and I agree. Rushkoff provides a very brief summary of his new book on the topic in the TED talk below. It starts with tech billionaires main concern being: Where do I build my bunker at the end of the world? So what happened to the idyllic utopias we thought tech was working toward, a collaborative commons of humanity? The tech boom became all about betting on stocks and getting as much money as possible for me, myself and I while repressing what makes us human. The motto became: “Human beings are the problem and technology is the solution.” Rushkoff is not very kind to the transhumanist notion of AI replacing humanity either, a consequence of that motto. He advises that we embed human values into the tech so that it serves us rather than the reverse.
Reich explains that narrative is necessary to provide a structure to belief systems. Just telling the truth is not enough without the right story. He breaks down the 4 major stories Americans have operated within: the triumphant individual; the benevolent community; the mob at the gates; the rot at the top. All four can be told with the truth or with lies. Reich provides examples and how the Dems abandoned some of these stories, while the Repugs maintained the negative versions. So how do progressives regain the truth of these four stories? Hint: Sanders, AOC and their ilk are doing exactly that.