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.
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.
The Empty Brain (Aeon article with audio)
[et_pb_section bb_built=”1″][et_pb_row][et_pb_column type=”4_4″][et_pb_text _builder_version=”3.17.6″]
From Axios interview with Elon Musk:
Musk said his neuroscience company, Neuralink, has about 85 of “the highest per capita intelligence” group of engineers he has ever assembled — with the mission of building a hard drive for your brain.
- “The long-term aspiration with Neuralink would be to achieve a symbiosis with artificial intelligence.”
- Wait. What? “To achieve a sort of democratization of intelligence, such that it is not monopolistically held in a purely digital form by governments and large corporations.”
[/et_pb_text][et_pb_video _builder_version=”3.17.6″ src=”https://www.youtube.com/watch?v=yQjUw16Mu_0″ /][/et_pb_column][/et_pb_row][/et_pb_section]
Our discussions all, to some extent, relate to cognition. An important area of inquiry concerns whether some form of physical embodiment is required for a brain to support cognition in general and the self-aware sort of cognition we humans possess.
Philosophy In The Flesh: The Embodied Mind And Its Challenge To Western Thought, by George Lakoff and Mark Johnson. Please note, while the title includes “Philosophy,” we are not a philosophy group and the book and discussion will revolve around scientific concepts and implications, not spiritualistic or metaphysical ideas.
– Amazon (used copies in the $6 range, including shipping)
– eBook (free PDF)
RSVP TO ATTEND
RSVP by email to email@example.com if you plan to attend our discussion on the afternoon of Saturday, November 3, 2018.
While our group enjoys socializing and will plan other events to that end, this meeting is for focused discussion among people who invest the time in advance to inform themselves on the topic. As a courtesy to those who will do their ‘homework,’ before the meeting please read and consider Part 1 (the first eight chapters) of the book. As you read, jot down your thoughts and questions on the book’s claims, supporting evidence, and implications for our core topics–brain, mind, and artificial intelligence. If you are not able to invest this effort prior to the meeting, please do not attend. Thank you for your understanding.
If you are a visual systematic learner, try creating a concept map of the book’s core concepts and ideas.
Please see related resource links in the comments to this post. Also, you can search this site’s other relevant posts using the category and tag, ’embodied cognition.’
The location will be in the vicinity of UNM on Central Ave. When you RSVP to firstname.lastname@example.org, you will be sent the address.
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.)
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.
“This is the first time scientists have been able to identify a patient’s own brain cell code or pattern for memory and, in essence, ‘write in’ that code to make existing memory work better, an important first step in potentially restoring memory loss”
“We showed that we could tap into a patient’s own memory content, reinforce it and feed it back to the patient,” Hampson said. “Even when a person’s memory is impaired, it is possible to identify the neural firing patterns that indicate correct memory formation and separate them from the patterns that are incorrect. We can then feed in the correct patterns to assist the patient’s brain in accurately forming new memories, not as a replacement for innate memory function, but as a boost to it.”