[1]
Nilsson, Nils, Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publishers. 1998.
Google Scholar
[2]
Poole, David, Mackworth, Alan, Goebel, Randy, Computational Intelligence: A Logical Approach. New York, Oxford University Press. 1998.
Google Scholar
[3]
Russell, Stuart J., Norvig, Peter, Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall. 2003.
Google Scholar
[4]
Luger, George; Stubblefield, William, Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th ed.). The Benjamin/Cummings Publishing Company, Inc.. 2004.
Google Scholar
[5]
Daniel Berrar, Naoyuki Sato, and Alfons Schuster, Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead. Advances in Artificial Intelligence, 2 pages. 2010.
DOI: 10.1155/2010/578309
Google Scholar
[6]
McCorduck, Pamela, Machines Who Think (2nd ed.), Natick, MA: A. K. Peters, Ltd.. 2004.
Google Scholar
[7]
Kurzweil, Ray, The Singularity is Near. Penguin Books. 2005.
Google Scholar
[8]
Ian G. Barbour, Neuroscience, Artificial Intelligence, and Human Nature: Theological and Philosophical Reflections. Zygon, Volume 34, Issue 3, pages 361–398. 1999.
DOI: 10.1111/0591-2385.00222
Google Scholar
[9]
Steve M. Potter, What can Artificial Intelligence get from Neuroscience? 50 years of artificial intelligence. Lecture Notes in Computer Science Volume 4850, 2007, pp.174-185. 2007.
DOI: 10.1007/978-3-540-77296-5_17
Google Scholar
[10]
Chaomei Chen, The Centrality of Pivotal Points in the Evolution of Scientific Networks. The Centrality of Pivotal Points in the Evolution of Scientific Networks, page 98-105. 2005.
DOI: 10.1145/1040830.1040859
Google Scholar
[11]
Chaomei Chen, CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology, 57(3):359–377. 2006.
DOI: 10.1002/asi.20317
Google Scholar
[12]
Rodney A. Brooks, Intelligence without representation. Artificial Intelligence, 47, 139–159. (1991)
Google Scholar
[13]
R. S. Sutton and A. G. Barto, Reinforcement Learning. Cambridge University Press. 1998.
Google Scholar
[14]
Stevan Harnad, The symbol grounding problem. Physica D: Nonlinear Phenomena, Volume 42, Issues 1–3, Pages 335–346. 1990.
DOI: 10.1016/0167-2789(90)90087-6
Google Scholar
[15]
Chaomei Chen, Fidelia Ibekwe-SanJuan, Jianhua Hou, The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis. Journal of the American Society for Information Science and Technology, Volume 61, Issue 7, pages 1386–1409. 2010.
DOI: 10.1002/asi.21309
Google Scholar
[16]
F. Riganello, A. Candelieri, M. Quintieri, D. Conforti, G. Dolce, Heart rate variability: An index of brain processing in vegetative state? An artificial intelligence, data mining study. Clinical Neurophysiology, 121, 2024–2034. 2010.
DOI: 10.1016/j.clinph.2010.05.010
Google Scholar
[17]
L Shastri, V Ajjanagadde, From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony. Behavioral and brain sciences, 16, 417-494. 1993.
DOI: 10.1017/s0140525x00030910
Google Scholar
