Beyond the Usual AI and Machine Intelligence

the Beyond topics
  1. George Gilder –Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy worth reading to obtain additional perspectives. Some may be right, some may be wrong. Definitely technologically provocative. Will Google/Alphabet last?Do you know about the Dalles? You should. My first clue was through the book …OK … find out more about Google’s Data Centers. Find out more about other pieces worth knowing.

the Artificial and Machine Intelligence related topics

  1. Gelernter, D. (2016). The tides of mind: Uncovering the spectrum of consciousness. WW Norton & Company.
  2. Marquis, P., Papini, O., & Prade, H. (2014). Some Elements for a Prehistory of Artificial Intelligence in the Last Four Centuries. ECAI.
  3. Scheutz, M. (Ed.). (2002). Computationalism: new directions. MIT Press.
  4. Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach.
    This is an updated edition of the 2010 version containing extensive current references. [note the book is getting hard to find sometimes due to demand, and its being the definitive AI textbook. Check the edition you are using/getting]
  5. Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press. This is an updated (2nd) edition of the 1998 version
  6. Nilsson, N. J., & Nilsson, N. J. (1998). Artificial intelligence: a new synthesis. Morgan Kaufmann.
  7. Poole, D. L., Mackworth, A. K., & Goebel, R. (1998). Computational intelligence: a logical approach (Vol. 1). New York: Oxford University Press.
    see also Artificial Intelligence: Foundations of Computational Agents 2nd Edition by the same authors.
  8. Pratt, V. (1987). Thinking Machines—The Evolution of Artificial Intelligence. Oxford: Basil Blackwell. – this is a general history of earlier machines … great reference to get historical insights not easily obtained elsewhere.
  9. Turing, A. M. (1948). Intelligent machinery. NPL. Mathematics Division. See also, Turing, A. (2004). Intelligent machinery (1948). The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma B. Jack Copeland, 395 which provides context and pointers to additional Turing resources.
  10. B. Jack Copeland (2004), Computability: Turing, Gödel, Church, and Beyond, The MIT Press.

Hard(er) Core Science Fiction and Speculative Fiction works

    1. John C. Wright’s Count to the Eschaton series is worth reading … provides interesting glimpse into a possible (far) future. It’s also fun to read … so good ideas and an interesting, universe spanning plot.

AI Recommended Readings / Possible. Minds

added a section for Artificial / computational / machine intelligence recommended readings on the main site — here.

noted also that  “We’re also paying attention to the applicability of AI/MI concepts to the space of What Sloman calls ‘possible minds’. “The idea is that the space of possible minds encompasses not only the biological minds that have arisen on this earth, but also extraterrestrial intelligence, and whatever forms of biological or evolved intelligence are possible but have never occurred, and artificial intelligence in the whole range of possible ways we might build AI”

The initial list of principal textbooks include:
1. Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach.
This is an updated edition of the 2010 version containing extensive current references.
[note the book is getting hard to find sometimes due to demand, and its being the definitive AI textbook, check the edition you are using/getting]

2. Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press. This is an updated (2nd) edition of the 1998 version.
In addition to his University of Alberta academic appointment, Richard Sutton is now the head of Alphabet/Google DeepMind Alberta operations.

3. Nilsson, N. J., & Nilsson, N. J. (1998). Artificial intelligence: a new synthesis. Morgan Kaufmann.

4. Poole, D. L., Mackworth, A. K., & Goebel, R. (1998). Computational intelligence: a logical approach (Vol. 1). New York: Oxford University Press.

5.  Artificial Intelligence: Foundations of Computational Agents 2nd Edition by the same authors.

 

Plant Intelligence – its true, they do have intelligence.

You can talk to plants and make them happy … yup, and likely they can return the favor!   Did you know that Francis Darwin specialized in Plant Physiology … and stirred the pot just like his dad did. Apparently both Charles and Francis were proponents of the idea that plants were intelligent. This is field is just now picking lot of steam! check

Brilliant Green: The Surprising History and Science of Plant Intelligence  by Stefano Mancuso

Turns out Francis wasn’t terribly shy … Brilliant Green recounts Francis Darwin’s opening gambit …

on September 2, 1908, at the opening of the annual congress of the British Association for the Advancement of Science, he threw caution to the wind and declared that plants are intelligent beings.

also, take a look at

  • Trewavas, A. (2014). Plant behaviour and intelligence. OUP Oxford.
  • van Loon, L. C. (2016). The intelligent behavior of plants. Trends in plant science21(4), 286-294.
  • Marder, M. (2013). Plant-thinking: A philosophy of vegetal life. New York: Columbia University Press.
  • Trewavas, A. (2016). Intelligence, cognition, and language of green plants. Frontiers in psychology7, 588.
  • Trewavas, A. J., and Baluska, F. (2011). The ubiquity of consciousness, cognition and intelligence in life. EMBO Rep.12, 1221–1225. doi: 10.1038/embor.2011.218
  • Trewavas, A. (1999). How plants learn. Proceedings of the National Academy of Sciences96(8), 4216-4218.
  • Thaler DS. 1994. The evolution of genetic intelligence. Science264: 1698-1699.√

A lot was motivated by Barb’s Nobel Prize talk –  McClintock, B. (1984). The significance of responses of the genome to challenge. Science 226, 792–801. doi: 10.1126/science.15739260

there’s more to this story … check later .