References

GOFAI GOOD OLD-FASHIONED ARTIFICIAL INTELLIGENCE

Machine Intelligence:
 

Wiesław Galus and Janusz A. Starzyk, Świadomość? Ależ to bardzo proste! BEL Studio, Warszawa, 1, 2018. 372 pp.

Joscha Bach, “Principles of Synthetic Intelligence”, Oxford University press, 2009.

Gulio Tononi, “Phi: A Voyage from the Brain to the Soul”, Pantheon, 2012, 384 pp. 

Pentti Haikonen, “Consciousness and Robot Sentience”, World Scientific, 2012.

Pentti Haikonen, “The cognitive approach to conscious machines”, UK: Imprint Academic, 2003.

Pentti Haikonen, “Robot Brains – Circuits and Systems for Conscious Machines”, John Wiley & Sons, 2007.

R. Pfeifer, J.C. Bongard, How the Body Shapes the Way We Think: A New View of Intelligence, The MIT Press  (Bradford Books), 2007. 

Bernard J. Baars and Nicole M. Gage Cognition, Brain, and Consciousness, Academic Press, 2007.

Rodney Brooks Flesh and Machines: How Robots Will Change Us, ISBN: 0375420797, Pantheon Books © February 2002.

Artificial Intelligence: a Modern Approach by Stuart Russell and Peter Norvig. ISBN: 0-13-790395-2,  Publisher: Prentice Hall, 2003. http://aima.cs.berkeley.edu/

Reinforcement Learning

Sutton, R. S. (1988). Learning to predict by the methods of temporal differences. Machine Learning, 3:9-44.

Sutton, R. S., and Barto, A. G. (1998). Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA.

Tesauro, G. J. (1995). Temporal difference learning and TD-Gammon. Communications of the ACM, 38:58-68.

  Deep Neural Networks

Book by Aaron Courville, Ian Goodfellow, and Yoshua Bengio, (2016) Deep Learning (Adaptive Computation and Machine Learning), The MIT Press, 775 pp.