Books, Articles, Papers, Talks

Much of GOFAI research and documentation predates the internet, or at least is underrepresented on it. Please list anything interesting you know of.

Some of my collection:

 

---------------- Legacy (symbolic A.I.) -----------------

Ashby, R. (1956). An Introduction to Cybernetics. Chapman & Hall Ltd

  • mechanism, information, biological systems
  • early attempt to grasp what would soon be called Artificial Intelligence
     

Biermann, A. (1990). Great Ideas in Computer Science. MIT Press

  • overview of computers from transistors to programming to mathematical theory
  • architecture, knowledge representation, algorithms, functions
     

Boden, M. (ed) (1989). Computers and Thought. MIT Press

  • collection of explorations in cognitive science by various authors
     

Rich, E. and Knight, K. (1991, 1983). Artificial Intelligence. McGraw-Hill, Inc.

  • thorough GOFAI text book, covering terminology, logic, search, expert systems, symbolic & statistical reasoning, and more
     

---------------- Modern (neurological theory of mind) -----------------

Hawkins, J. et al. 2016. Biological and Machine Intelligence.
Release 0.4. Accessed at:

  • ‘living’ documentation for the Hierarchical Temporal Memory (HTM) model
  • HTM was a ‘theory of mind’ that has been expanded into Thousand Brains Theory
     

Hawkins, J. (2021). A Thousand Brains: A New Theory of Intelligence. Basic Books

  • massive bestseller that offers a very different path to A.I. than generative LLMs do
  • see thousandbrains.discourse.group for much more information on the OSS project
     

Clay V., Leadholm N., Hawkins J. (2024). The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence.
Accessed at: [2412.18354] The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence

  • a detailed report on the current thinking of this project
     

Logarithms are a crucial advance in computation generally. This is the best explanation and history I’ve seen:

12:08 PM

The ENIAC programmers