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216 CHAPTER 10 Computers Versus Brains: Game Is Over or More to Come?

speech recognition in noisy and cluttered background. Brain-inspired AI approaches
can implement complimentary aspects of intelligent systems to address such critical
tasks and produce superior AI in the years ahead.

ACKNOWLEDGMENTS
The work presented in this chapter is supported in part by National Science Foundation Grant
NSF-CRCNS-DMS-13-11165 and by Defense Advanced Research Project Agency “Superior
AI” Grant, DARPA/MTO HR0011-16-L-0006.

REFERENCES

[1] S. Hawking, S. Russell, M. Tegmark, F. Wilczek, Stephen Hawking: “Transcendence
looks at the implications of artificial intelligence-but are we taking AI seriously
enough?”, The Independent (2014) 9313474, 2014(05-01).
[2] D.G. Stork, HAL’s Legacy: 2001s Computer as Dream and Reality, MIT Press, 1997.
[3] D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert,
L. Baker, M. Lai, A. Bolton, Y. Chen, Mastering the game of go without human
knowledge, Nature 550 (7676) (2017) 354.
[4] L. Da Vinci, A Renaissance Robot: designed a sophisticated robot to mimic the motions
of an armored knight, Mechanical Engineering, New York 120 (1998) 80e83.
[5] T. Standage, The Turk: The Life and Times of the Famous Eighteenth-Century Chess-
Playing Machine, Walker & Company, 2002.
[6] J. Von Neumann, The Computer and the Brain, Yale Univ. Press, New Haven, CT, 1958.
[7] A.M. Turing, Computing machinery and intelligence, Mind 59 (236) (1950) 433e460.
[8] R. Kozma, M. Puljic, Neuropercolation model of pattern-based computing in brains
through cognitive phase transitions, Theoretical Computer Science C e Natural
Computing 633 (2015) 54e70.
[9] J.A. Anderson, E. Rosenfeld, Talking Nets: An Oral History of Neural Networks, MIT
Press, 2000.
[10] M.L. Minsky, S. Papert, Perceptrons: An Introduction to Computational Geometry, MIT
Press, Cambridge, MA, 1969.
[11] M. Minsky, A Framework for Representing Knowledge, MIT, AI Lab, Cambridge, MA,
1974.
[12] A. Newell, H.A. Simon, Human Problem Solving, Prentice-Hall, Englewood Cliffs, NJ,
1972.
[13] A. Newell, Physical symbol systems, Cognitive Science 4 (1980) 135e183.
[14] J.A. Anderson, J.W. Silverstein, S.A. Ritz, R.S. Jones, Distinctive features, categorical
perception, and probability learning: some applications of a neural model, Psychological
Review 84 (1977) 413e451.
[15] J.E. Laird, A. Newell, P.S. Rosenbloom, SOAR: an architecture for general intelligence,
Artificial Intelligence 33 (1987) 1e64.
[16] H.L. Dreyfus, Why Heideggerian AI failed and how fixing it would require making it
more Heideggerian, Artificial Intelligence 171 (18) (2007) 1137e1160.