This article is relevant to our recent discussions and Zak Stein’s (see Edward’s recent post) suggestion that great destabilizing events open gaps in which new structures can supplant older, disintegrating systems–with the inherent risks and opportunities.
- What is humanity’s situation with respect to surviving long-term with a good quality of life? (Frame the core opportunities and obstacles.)
- What attributes of our evolved, experientially programmed brains contribute to this situation? (What are the potential leverage points for positive change within our body-brain-mind system?)
- What courses of research and action (including currently available systems, tools, and practices and current and possible lines of R&D) have the potential to improve our (and the planetary life system’s) near- and long-term prospects?
Following is a list of (only some!) of the resources some of us have consumed and discussed online, in emails, or face-to-face in 2019. Sample a few to jog your thoughts and provoke deeper dives. Please add your own additional references in the comments below this post. For each, give a short (one line is fine) description, if possible.
- In The Age of AI (Frontline video – about 2 hours)
- Cognitive aspects of interactive technology use
- The origins and evolutionary effects of consciousness
- Damasio on consciousness
- Range: Why Generalists Triumph in a Specialized World
- Team Human by Rushkoff
- Life 3.0 (video interview – about 1 hr 23 min)
- Life 3.0 synopsis
- Eric Brynjolfsson and Max Tegmark on ‘Life 3.0’ – exponential change (video – about 1 hr)
- Zero marginal cost society – collective commons
- Syntegration – key to innovation
- Storytelling as adaptive collective sensemaking
- How does music affect the brain?
- The neuroscience of creativity
- Is the info processing (IP) metaphor of the brain wrong?
- Intra-species evolutionary arms race drove brainpower leaps
- Evolutionary theory: Fringe or central to psychological science
- Climate change and social transformations
- Algorithm, not talent or merit, determines wealth distribution
- 2019 ‘best’ year on record for humans
- Influence of capitalism on well-being
- Does altruism exist?
- Networks thinking themselves (video – about 1 hour)
- Did ability to enter trance states enable formation of human society?
- Cultural evolution
- Free, Fair and Alive: The insurgent power of the commons
- New scientific model can predict moral and political development
- Do our models get in the way?
- 40-year update on meme theory
- Beyond free will: The embodied emergence of conscious agency
- How the internet is affecting your brain
- Ideas of Stuart Kauffman
- This link shows 12 positive benefits of meditation supported by scientific studies
- Part of the collective commons transformation is how humanity has become a hybrid cyborg with the machine, meaning the personal computer and an internet connection. It has fundamentally changed our nature to one of a mass-communicated collaborative commons. The Frontiers ebook is the tech side of that development, whereas the more social side is what Rifkin writes about.
- Heart-rate variability and social coherence
- How cooperatives are driving the new economy
- Yuval Noah Harari Is Worried About Our Souls
- The Age of Entanglement
- Fungi as a new model for cooperation and communication?
- The landscape of 21st century science
- The collective computation or reality in nature and society (among other great SFI resources)
- Brain tunes itself to criticality, maximizing information processing
- Evolved biocultural beings
- Editorial: Evolutionary Theory: Fringe or Central to Psychological Science
- From computers to cultivation: reconceptualizing evolutionary psychology
- Evolved computers with culture. Commentary: From computers to cultivation: reconceptualizing evolutionary psychology
- Information-Processing and Embodied, Embedded, Enactive Cognition Part 1
- Frontiers – Peer-reviewed, free-access scientific journals
- Divided brain, divided world (video – about 11 mins)
- Is the power law really all dat?
- Scale-free networks are rare
- Consciousness in humanoid robots
- Journal: Human Arenas
- SFI: InterPlanetary Round Table Discussion: Our Future in Space (Neal Stephenson and others)
- Thinking devices – imitation, mind-reading, language and others – are neither hard-wired nor designed by genetic evolution
- EU Ethics guidelines for trustworthy AI
- The neural and cognitive foundations of math
- AI will never conquer humanity
- The agency of cognitive artifacts
- Neuroscience: Deep breathing changes your brain
From this article at MIT Technology Review:
“Massimiliano Proietti at Heriot-Watt University in Edinburgh and a few colleagues say they have performed this experiment for the first time: they have created different realities and compared them. Their conclusion is that Wigner was correct—these realities can be made irreconcilable so that it is impossible to agree on objective facts about an experiment. .[…] ‘This calls into question the objective status of the facts established by the two observers,’ say Proietti and co.” […] Proietti and co’s result suggests that objective reality does not exist. In other words, the experiment suggests that one or more of the assumptions—the idea that there is a reality we can agree on, the idea that we have freedom of choice, or the idea of locality—must be wrong.”
I was reminded of the video below, and this longer examination of the ideas therein. Here’s the blurb from the latter:
“Divided Brain, Divided World explores the significance of the scientific fact that the two hemispheres of our brains have radically different ‘world views’. It argues that our failure to learn lessons from the crash, our continuing neglect of climate change, and the increase in mental health conditions may stem from a loss of perspective that we urgently need to regain.
Since this came up in our book discussion or Range yesterday, something relevant from this article. It’s interesting how the salience network mediates between and integrates two normally one on, one off networks. And how it is the connections between networks that seems to do the trick akin to the book’s description of how those with range make analogous connections between ideas and domains.
“Three of these distinct brain networks — the default mode, the executive control network and the salience network — have been identified by Dr Beaty and colleagues as being associated with creativity.
“The default mode network is activated when people are relaxed and their mind is wandering to different topics or experiences, associated with remembering past experiences, thinking about possible future experience and daydreaming.
“The executive control network comes into play when you need to pay close attention and focus on something in the environment. It comes online when we have to focus our attention and cognitive resources on more demanding tasks that require us to hone our attention and manage multiple things in our mind at one time, directing the content of our thoughts.
“The salience network plays a significant role in detecting and filtering important — or salient — information. It’s called salience because it helps us to pick up on salient information in the environment or internally. Interestingly, the default mode and the executive control networks don’t typically work together — when one network is activated, the other tends to be deactivated. One thing that we think the salience network might be doing is switching between an idea-generation mode, which is more of a default process, and the idea-evaluation mode, which is more of a control way of thinking. […] More creative people tended to have more network connections.”
In his new book, Range: Why Generalists Triumph in a Specialized World, David J. Epstein investigates the significant advantages of generalized cognitive skills for success in a complex world. We’ve heard and read many praises for narrow expertise in both humans and AIs (Watson, Alpha Go, etc.). In both humans and AIs, however, narrow+deep expertise does not translate to adaptiveness when reality presents novel challenges, as it does constantly.
As you ingest this highly readable, non-technical book, please add your observations to the comments below.
This TED talk discusses how tech innovation is driven by those with diverse experience that syntegrate a variety of genres instead of specialists that are limited to a few. They call it ‘lateral’ thinking but that term sets up a dichotomy with hierarchical thinking, which the syntegral approach is certainly much more than. The hierarchical complexity approach would limit that way of thinking merely to what it calls horizontal complexity, again missing the boat entirely of the sort of cross-paradigmatic thinking involved in syntegration, aka hier(an)archical synplexity.
An article in Nature Machine Intelligence reports on R&D efforts employing evolutionary approaches to getting robots that are better adapted to their environments.
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.
“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.