In this chapter, an introduction to intelligent machine is presented. An explanation on intelligent behavior, and the difference between intelligent and repetitive natural or programmed behavior is provided. Some learning techniques in the field of Artificial Intelligence in constructing intelligent machines are then discussed. In addition, applications of intelligent machines to a number of areas including aerial navigation, ocean and space exploration, and humanoid robots are presented.
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References
“Mainstream Science on Intelligence”, Wall Street Journal, Dec. 13, 1994, p A18.
“Artificial Intelligence”, Encyclopædia Britannica. 2007. Encyclopædia Britan-nica Online, <http://www.britannica.com/eb/article-9009711>, access date: 10 Feb 2007
S. Takamuku and R.C. Arkin, “Multi-method Learning and Assimilation”, Mobile Robot Laboratory Online Publications, Georgia Institute of Technology, 2007.
S.C. Shapiro, Artificial Intelligence, in A. Ralston, E.D. Reilly, and D. Hem-mendigner, Eds. Encyclopedia of Computer Science, Fourth Edition,. New York Van Nostrand Reinhold, 1991
S. Schaal, “Is imitation learning the route to humanoid robots?” Trends in Cognitive Scienes, vol. 3, pp. 233-242, 1999.
J. Peters, S. Vijayakumar, and S. Schaal, “Reinforcement learning for humanoid robotics”, Proceedings of the third IEEE-RAS International Conference on Humanoid Robots, 2003.
S. Patnaik, L. Jain, S. Tzafestas, G. Resconi, and A. Konar, (eds), Innovations in Robot Mobility and Control, Springer, 2006.
B. Apolloni, A. Ghosh, F. Alpaslan, L. Jain, and S. Patnaik, (eds), Machine Learning and Robot Perception, Springer, 2006.
L.C. Jain, and T. Fukuda, (editors), Soft Computing for Intelligent Robotic Systems, Springer-Verlag, Germany, 1998.
P. Langley, “Machine learning for intelligent systems,” Proceedings of Fourteenth National Conference on Artificial Intelligence, pp. 763-769, 1997.
F. Sahin and J.S. Bay, “Learning from experience using a decision-theoretic intelligent agent in multi-agent systems”, Proceedings of the 2001 IEEE Moun-tain Workshop on Soft Computing in Industrial Applications, pp. 109-114, 2001.
J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, 1988.
D.A. Schoenwald, “AUVs: In space, air, water, and on the ground”, IEEE Con-trol Systems Magazine, vol. 20, pp. 15-18, 2000.
A. Ryan, M. Zennaro, A. Howell, R. Sengupta, and J.K. Hedrick, “An overview of emerging results in cooperative UAV control”, Proceedings of 43rdIEEE Con-ference on Decision and Control, vol. 1, pp. 602-607, 2004.
.“NOAA Missions Now Use Unmanned Aircraft Systems”, NOAA Mag- azine Online(Story193),2006,<http://www.magazine.noaa.gov/stories/mag193.htm>, access date: 13 Feb, 2007
S. Waterman, “UAV Tested For US Border Security”, United Press Inter- national,<http://www.spacewar.com/reports/UAV Tested For US Border Security999.html>, access date: 30 March 2007
“First Flight-True UAV Autonomy At Last” Agent Oriented Software, (Press Release of 6 July 2004), <http://www.agent-software.com/shared/resources/ pressReleases.html>, access date: 14 Feb. 2007
J. Yuh, “Underwater robotics”, Proceedings of IEEE International Conference on Robotics and Automation, vol. 1, pp. 932-937, 2000.
“Intelligent Machines, Micromachines, and Robotics”, <http://www.ntu . edu.sg/mae/Research/Programmes/Imr/>, access date:12 Feb 2007
J. Chestnutt, M. Lau, G. Cheung, J. Kuffner, J. Hodgins, and T. Kanade, “Foot-step Planning for the Honda ASIMO Humanoid”, Proceedings of the IEEE Inter-national Conference on Robotics and Automation, pp. 629-634, 2005.
F. Tanaka, B. Fortenberry, K. Aisaka, and J. R. Movellan, “Developing dance interaction between QRIO and toddlers in a classroom environment: Plans for the first steps”, Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, p. 223-228 2005.
K.F. MacDorman and H. Ishiguro, “The uncanny advantage of using androids in cognitive and social science research,” Interaction Studies, vol. 7, pp. 297-337, 2006.
A. Lazinica, “Highlights of IREX 2005”, <http://www.ars-journal.com/ars/ Free Articles/IREX-2005.htm>, access date: 20 March, 2007
“X-45 Unmanned Combat Air Vehicle (UCAV)”, <http://www.fas.org/man/ dod-101/sys/ac/ucav.htm>, access date: 14 Feb 2007
.“Micromechanical Flying Insect(MFI) Project”,<http://robotics.eecs. berkeley. edu/∼ronf/MFI/>, access date: 14 Feb 2007
E. Cole,“Fantastic Voyage: Departure2009”,<http://www.wired.com/news/technology/medtech/0,72448-0.html?tw=wn technology 1>, access date: 14 Feb 2007
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Jain, L.C., Quteishat, A., Lim, C.P. (2007). Intelligent Machines: An Introduction. In: Chahl, J.S., Jain, L.C., Mizutani, A., Sato-Ilic, M. (eds) Innovations in Intelligent Machines - 1. Studies in Computational Intelligence, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72696-8_1
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