Many (all?) cognitive biases are built-in features of the human attention-sensation-perception-memory-cognition chain of sense making processes. It would not be surprising to learn many of these biases have effects that are relevant to questions regarding how natural selection shaped humans for particular embodied functions in a particular environment. Much has been said and written about how the pre-modern environment evolution calibrated us to function within is in many respects quite different from our modern environment.
I watched a good documentary last night titled, Living in the Future’s Past, a project organized, produced, and narrated by Jeff Bridges. It’s available through your Albuquerque Public Library account’s access to Hoopla Digital, Amazon Prime video, and other services. It lays out the modern dilemma of having a pre-neolithic brain in a Neolithic era and posits several questions that align closely with the theme of our current discussion . The film has commentary from diverse scientific experts, including Daniel Goldman (emotional and social intelligence and mindfulness). The upshot is a recurring suggestion our current brain functionality is capable of reframing our perspective and modulating our perceptions and behaviors around carefully constructed focal questions that get at what sort of future(s) we desire. I like this approach—so well in fact that I Had reserved some web domains months ago: WorldIChoose.org, WorldIChoose.com, ChooseMyWorld.org, and ChooseMyWorld.com. These domains are not active yet. They will relate to the novel I’m writing and to a related non-fiction project. Edward is onto an important approach in looking to semantics (framing, etc.).
Also, on a short-term level, cultural evolution (including language and semantics) appears much more potent a driver than physiological evolution. Given that, I recently purchased a book by an author who goes into great depth on cultural evolution. The book is Cognitive Gadgets: The Cultural Evolution of Thinking, by Cecelia Heyes. I may put it forward for a future discussion.
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.
Ideally, automation would yield a Star Trek reality of increasing leisure and quality of choice and experience. Why isn’t this our experience? An article on Medium offers insight into why this is not occurring on any significant scale.
Evolved behavioral strategies explained by the prisoner’s dilemma damn the majority of humans to a constant doubling down. We exchange the ‘leisure dividend’ (free time) granted by automation for opportunities to outcompete others.
Apparently, the sort of reciprocal social learning that could lead us to make healthy choices with our leisure opportunities depends on us and our competitors being able to mutually track our outcomes across consecutive iterations of the ‘game’. That ‘traceability’ quickly breaks down with the complexity inherent in vast numbers of competitors. When we conclude that any viable competitor may use her leisure dividend to further optimize her competitive position, rather than to pause to enjoy her life, we tend to do the same. Each assumes the other will sprint ahead and so chooses to sprint ahead. Both forfeit the opportunity to savor the leisure dividend.
The prisoner’s dilemma shows that we (most humans) would rather be in a grueling neck-and-neck race toward an invisible, receding finish line than permit the possibility a competitor may increase her lead.
Any strategy that’s so endemic must have evolutionary roots. Thoughts?
Charles Cockell’s The Equations of Life: How Physics Shapes Evolution argues physics sets the boundaries and shape possibilities for what evolution can produce in the universe. Read a review here.
Chapter by chapter, he aims his lens at all levels of biological organization, from the molecular machinery of electron transport to the social organisms formed by ant colonies. In each instance, Cockell shows that although these structures might be endless in their detail, they are bounded in their form.
Two independent teams of scientists from the University of Utah and the University of Massachusetts Medical School have discovered that a gene crucial for learning, called Arc, can send its genetic material from one neuron to another by employing a strategy commonly used by viruses. The studies, both published in Cell, unveil a new way that nervous system cells interact.
In this clip Hartmann interviews David Sloan Wilson on his new article by the above name. A new economics needs a new foundation from the typical and shopworn invisible hand proposed by Adam Smith. That new hand is applying evolutionary theory to the topic. David S. Wilson is SUNY Distinguished Professor of Biology and Anthropology at Binghamton University and Arne Næss Chair in Global Justice and the Environment at the University of Oslo. His most recent book is Does Altruism Exist?
As much of the world settles into the spectacle and cozy embrace of culturally reinforced magical thinking, New Scientist has several interesting recent articles about the evolved intuitive nature of religious thinking as a cognitive by-product (of the value of assuming agency in environmental phenomena, for example) and delving into how atheism is and is not like religious thinking. I find the point interesting that religion and atheism (or any ism), as social constructs, cannot be studied and compared in the same ways that objectively real objects and phenomena can, but we can learn much from systematic approaches to investigating the underlying neurological functions and their probable evolutionary value.
If you don’t subscribe, Albuquerque Public Libraries carry New Scientist.
This very rich, conversational thought piece asks if we, as participant designers within a complex adaptive ecology, can envision and act on a better paradigm than the ones that propel us toward mono-currency and monoculture.
We should learn from our history of applying over-reductionist science to society and try to, as Wiener says, “cease to kiss the whip that lashes us.” While it is one of the key drivers of science—to elegantly explain the complex and reduce confusion to understanding—we must also remember what Albert Einstein said, “Everything should be made as simple as possible, but no simpler.” We need to embrace the unknowability—the irreducibility—of the real world that artists, biologists and those who work in the messy world of liberal arts and humanities are familiar with.
In order to effectively respond to the significant scientific challenges of our times, I believe we must view the world as many interconnected, complex, self-adaptive systems across scales and dimensions that are unknowable and largely inseparable from the observer and the designer. In other words, we are participants in multiple evolutionary systems with different fitness landscapes at different scales, from our microbes to our individual identities to society and our species. Individuals themselves are systems composed of systems of systems, such as the cells in our bodies that behave more like system-level designers than we do.
Max Tegmark’s book, Life 3.0: Being Human in the Age of Artificial Intelligence, introduces a framework for defining types of life based on the degree of design control that sensing, self-replicating entities have over their own ‘hardware’ (physical forms) and ‘software’ (“all the algorithms and knowledge that you use to process the information from your senses and decide what to do”).
It’s a relatively non-academic read and well worth the effort for anyone interested in the potential to design the next major forms of ‘Life’ to transcend many of the physical and cognitive constraints that have us now on the brink of self-destruction. Tegmark’s forecast is optimistic.
If you’ve read the book, please share your observations and questions in the comments below this article. (If you are not a member and would like to be able to comment, send your preferred email address to email@example.com. Please provide a concise description of your interests relevant to our site. Links to relevant books and articles will be accepted. No other advertising or unrelated comments will be accepted and submitters may be banned.)