“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.
“Divided Brain, Divided World examines how related issues are illuminated by the ideas developed in author and psychiatrist Iain McGilchrist’s critically acclaimed work: The Master and his Emissary. It features a dialogue between McGilchrist and Director of RSA’s Social Brain Centre, Dr Jonathan Rowson, which informed a workshop with policymakers, journalists and academics.
“This workshop led to a range of written reflections on the strength and significance of the ideas, including critique, clarification and illustrations of relevance in particular domains, including economics, behavioural economics, climate change, NGO campaigning, patent law, ethics, and art.”
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.”
New draft paper by me. Update: Published here. The abstract:
A ‘power law’ refers specifically to a statistical relationship between quantities, such that a change in one quantity has a proportional change in another. One property of this law is scale invariance, otherwise known as ‘scale-free,’ meaning the same proportion repeats at every scale in a self-similar pattern. Mathematical fractals are an example of such a power law. Power laws are taken as universal and have been applied to any and all phenomena to prove the universality of this law.
However, a recent study (Broido and Clauset, 2019) claims that “scale free networks are rare.” They conducted an extensive review of one thousand social, biological, technological and information networks using state of the art statistical methods and concluded what the title of their article states. To the contrary, “log-normal distributions fit the data as well or better than power laws.” And that scale-free structure is “not an empirically universal pattern.” Hence it should not be used to model and analyze real world structures.
Recent book by Wuppulari and Doria. F___ing Amen man. This would be a good one for discussion. From the Intro by Penrose:
“Is there a global map that can simulate every other map under some constraint? […] If two maps cannot be integrated, is this a limitation of our scientific cartography or is it the nature of the underlying territory itself that prevents us from such an attempt? […] It is safer to let the gaps remain as gaps while we let our maps remain as maps, rather than giving in to the seemingly seductive approach of trading in our understanding and intermingling maps with territory to fill in the conceptual gaps—however, much this may comfort us and appeal to our tastes!”
From the blurb at b-ok.org: This volume presents essays by pioneering thinkers including Tyler Burge, Gregory Chaitin, Daniel Dennett, Barry Mazur, Nicholas Humphrey, John Searle and Ian Stewart. Together they illuminate the Map/Territory Distinction that underlies at the foundation of the scientific method, thought and the very reality itself.
It is imperative to distinguish Map from the Territory while analyzing any subject but we often mistake map for the territory. Meaning for the Reference. Computational tool for what it computes. Representations are handy and tempting that we often end up committing the category error of over-marrying the representation with what is represented, so much so that the distinction between the former and the latter is lost. This error that has its roots in the pedagogy often generates a plethora of paradoxes/confusions which hinder the proper understanding of the subject. What are wave functions? Fields? Forces? Numbers? Sets? Classes? Operators? Functions? Alphabets and Sentences? Are they a part of our map (theory/representation)? Or do they actually belong to the territory (Reality)? Researcher, like a cartographer, clothes (or creates?) the reality by stitching multitudes of maps that simultaneously co-exist. A simple apple, for example, can be analyzed from several viewpoints beginning with evolution and biology, all the way down its microscopic quantum mechanical components. Is there a reality (or a real apple) out there apart from these maps? How do these various maps interact/intermingle with each other to produce a coherent reality that we interact with? Or do they not?
Does our brain uses its own internal maps to facilitate “physicist/mathematician” in us to construct the maps about the external territories in turn? If so, what is the nature of these internal maps? Are there meta-maps? Evolution definitely fences our perception and thereby our ability to construct maps, revealing to us only those aspects beneficial for our survival. But the question is, to what extent? Is there a way out of the metaphorical Platonic cave erected around us by the nature? While “Map is not the territory” as Alfred Korzybski remarked, join us in this journey to know more, while we inquire on the nature and the reality of the maps which try to map the reality out there.
The book also includes a foreword by Sir Roger Penrose and an afterword by Dagfinn Follesdal.
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.
Psychologist Robert Epstein, the former editor of Psychology Today, challenges anyone to show the brain processing information or data. The IP metaphor, he says, is so deeply embedded in thinking about thinking it prevents us from learning how the brain really works. Epstein also takes on popular luminaries including Ray Kurzweil and Henry Markram, seeing both exemplifying the extremes of wrongness we get into with the IP metaphor and the notion mental experience could persist outside the organic body.
During our recent meeting to discuss animal intelligence, Eve mentioned elephants communicating over large distances by transmitting and receiving low-frequency waves through their skeletons and feet. This was in the context of my question, “Is physical embodiment necessary to higher cognition?” This article and video from KQED show and explain the phenomenon.
Kurzweil builds and supports a persuasive vision of the emergence of a human-level engineered intelligence in the early-to-mid twenty-first century. In his own words,
With the reverse engineering of the human brain we will be able to apply the parallel, self-organizing, chaotic algorithms of human intelligence to enormously powerful computational substrates. This intelligence will then be in a position to improve its own design, both hardware and software, in a rapidly accelerating iterative process.
In Kurzweil's view, we must and will ensure we evade obsolescence by integrating emerging metabolic and cognitive technologies into our bodies and brains. Through self-augmentation with neurotechnological prostheses, the locus of human cognition and identity will gradually (but faster than we'll expect, due to exponential technological advancements) shift from the evolved substrate (the organic body) to the engineered substrate, ultimately freeing the human mind to develop along technology's exponential curve rather than evolution's much flatter trajectory.
The book is extensively noted and indexed, making the deep-diving reader's work a bit easier.
If you have read it, feel free to post your observations in the comments below. (We've had a problem with the comments section not appearing. It may require more troubleshooting.)