I finally finished the "Self-assembling Brain" by Peter R. Hiesinger; it took me way to long. First of all, it's a pretty good book if you're interested in the competing views on how Genetics, Neuroscience, Robotics, and AI view intelligence and the human brain. The author really wants the reader to understand the vantage or viewpoints for each of these domain areas. The book is well-written and accessible to most people with a STEM background. However, at times it's hard to keep track of how these domains were developed by key individuals in the mid to end of the 20th century. For example, I really couldn't follow the author's presentation of what Roger W. Sperry was proposing for how a brain wired itself.
In the book's second chapter, the author presents a dialogue between 4 different scientists/engineers. There is a roboticist, molecular geneticist, AI engineer, and neuroscientist. The playwright then carries on about the different perspectives about whether artificial neural networks are capable and mimic a human brain. The neuroscientist claims more needs to be drawn from biology in terms of function, i.e., how the brain does what it does. The AI engineer thinks we don't necessarily need to replicate the human brain works in order to achieve artificial general intelligence. The roboticist follows a similar thinking as the AI engineer. The interesting one is the geneticist who seems to propose that there is a significant need to understand how to grow a brain based on genetics, the other three push back.
|
Princeton Press |
@misc{Bringuier_3JUL2023,
title = {Book Review: Building a Brain},
author = {Bringuier, Stefan},
year = 2023,
month = jul,
url = {https://www.diracs-student.blog/2023/07/}#
{book-review-building-brain.html},
note = {Accessed: 2025-04-14},
howpublished = {Dirac's Student [Blog]},
}
No comments:
Post a Comment
Please refrain from using ad hominem attacks, profanity, slander, or any similar sentiment in your comments. Let's keep the discussion respectful and constructive.