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AI Topics. (n.d.). Retrieved October 1, 2014, from http://aitopics.org/misc/brief-history

Biever, C. (2006, July 20). A Good Robot has Personality but not Looks. New Scientist 
          Tech. http://viterbi.usc.e
du/tools/download/?asset=/assets/023/49186.pdf&name=nsmaja.pdf

Boyko, G., & Lau, E. (2006, January 1). Computer History Museum | Timeline of Computer History: Robots             & Artificial Intelligence Entries. Retrieved October 5, 2014, from 
          http://www.computerhistory.org/timeline/?category=rai


Brilliant, R. (n.d.). Robots that Learn from People | MIT Video. Retrieved September 28, 2014, from 
          http://video.mit.edu/watch/robots-that-learn-from-people-39/


Chatila, R. (2014, January 1). Robot Learning. Retrieved October 25, 2014, from 
          http://www.ieee-ras.org/robot-learning

Hack, M. (14, March 15). Use Data to Tell the Future: Understanding Machine Learning. Retrieved October           13, 2014, from http://www.wired.com/2014/03/use-data-tell-future-understanding-machine-                   learning/

Handwerk, B. (2013, July 18). Robot Revolution? Scientists Teach Robots to Learn. Retrieved October 15, 
          2014, from http://news.nationalgeographic.com/news/2013/07/130719-robot-lfd-pr2-artificial-                intelligence-crowdsourcing-robotics-machine-learning/

IBM. (2014). Machine learning applications: Five innovations that will change our lives within five years. 
          Retrieved September 30, 2014, from http://research.ibm.com/cognitive-computing/machine-
          learning-applications/index.shtml#fbid=NpnCkDpECm1

Jordan, A. (2002). On discriminative vs. generative classifiers: A comparison of logistic regression and                 naive bayes. Advances in neural information processing systems, 14, 841. Chicago

Langley, P. (2011, February 16) The Changing Science of Machine Learning. Retrieved October 17, 2014,                 from http://www.isle.org/~langley/papers/changes.mlj11.pdf

McCarthy, J. (2007, November 12). Basic Questions. Retrieved September 30, 2014, from http://www-                 formal.stanford.edu/jmc/whatisai/node1.html

Smith, C., McGuire, B., Huang, T., & Yang, G. (2006). The History of Artificial Intelligence. Retrieved 
          October 13, 2014, from 
          http://courses.cs.washington.edu/courses/csep590/06au/projects/history-ai.pdf

Smith, J. (2009, March 23). Can Robots Be Programmed to Learn from Their Own Experiences? Scientific
          American. http://www.scientificamerican.com/article/robot-learning/

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