Pennsylvania State University

Pennsylvania State University

Artificial Intelligence: The Very Idea

References

Key References

  1. Wooldridge, M. (2021). A Brief History of Artificial Intelligence - What it is, where we are, and where we are going.. MacMillan.

  2. Lamb, H., Levy, J., and Quigley, C. (2023) Simply Artificial Intelligence. Penguin Random House

  3. Colombo, M. and Piccinini, G. (2023), The Computational Theory of Mind. Cambridge University Press.

Additional References

Computers and Brains

  1. Hillis, D. (2015). The Pattern on the Stone., Basic Books.

  2. Dasgupta, S. (2016). Computer Science - A very short introduction. Oxford University Press.

  3. Bernhardt, C. (2016). Turing's Vision - The Birth of Computer Science. MIT Press.

  4. Von Neumann, J. (1957). The Computer and the Brain. Yale University Press

Natural and Artificial Intelligence

  1. Fischler, M. and Firschein, O. (1987). Intelligence - The Eye, the Brain, and the Computer Addison-Wesley.

  2. Boden, M. (2016). AI Its nature and Future. Oxford University Press.

  3. Michell, M. (2019). Artificial Intelligence - A guide for thinking humans. Picador.

  4. Haugeland, J. (1985). Artificial Intelligence - The Very Idea. MIT Press.

  5. Dennett, D. C. (2008). Kinds of Minds - Towards an understanding of consciousness Basic Books
  6. Simon, H. (1995). The Sciences of the Artificial MIT Press.

  7. Wilks, Y. (2023). Artificial Intelligence - Modern Magic or Dangerous Future?. MIT Press.

  8. Togelius, J. (2024) Artificial General Intelligence. MIT Press.

  9. Copeland, J. (1995). Artificial Intelligence - A Philosophical Introduction, Wiley.

  10. Yuste, R. (2023). Lectures in Neuroscience. Columbia University Press.

  11. Kurzweil, R. (2012). How to Create a Mind. Penguin Random House.

  12. Pinker, S. (2009). How the Mind Works Penguin.

  13. Kowalski, R. (2011) Computational Logic of Human Thinking, Cambridge University Press.

  14. Alpaydin, E. (2021) Machine Learning. MIT Press.

  15. Kelleher, J.D. (2019). Deep Learning. MIT Press.

  16. Sejnowski, T. (2018). The Deep Learning Revolution. MIT Press.

  17. Narayanan, A. and Kapoor, S. (2024). AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference, Princeton University Press.

AI - Ethics, Societal Implications

  1. Russell, S. (2019) Human Compatible - Artificial Intelligence and the Problem of Control. Penguin Random House.

  2. Christian, B. (2021). The Alignment Problem - Machine Learning and Human Values. W. W. Norton and Company.

  3. Zerelli, J. (2021). A Citizen's Guide to Artificial Intelligence. MIT Press.

  4. Borg, JS, Sinnott-Armstrong, W., and Conitzer, V. (2024), Moral AI and How to Get There Penguin Random House.

  5. Coeckelbergh, M. (2020). AI Ethics MIT Press.

  6. Marcus, G. and Davis, E. (2020). Rebooting AI - Building AI We can Trust Penguin Random House.

Building Artificial Intelligence Systems

  1. Poole, D. and Mackworth, A. (2023). Artificial Intelligence - Foundations of Computational Agents, Cambridge University Press.

  2. Russell, S. and Norvig, P. (2022). Artificial Intelligence - A Modern Approach Pearson.

History of AI

  1. Pickover, C.A. (2019). Artificial Intelligence - An Illustrated History: From Medieval Robots to Neural Networks. Union Square and Company.

  2. McCorduck, P. (2004). Machines Who Think A Personal Inquiry into the History and Prospects of Artificial Intelligence

  3. Nilsson, N. (2019). The Quest for Artificial Intelligence. Cambridge University Press.