Jonathan Connell

Staff Member, T.J. Watson Research Center, IBM

Jonathan Connell is a Research Staff Member at IBM's T.J. Watson Research Center in Hawthorne, New York. He graduated from MIT in 1989 with a Ph.D. in Artificial Intelligence and has written books on robots, robot learning, and biometrics. He was an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 1995-1999, and co-taught a undergraduate seminar course on man-machine interaction (Spring Semester 2001) as part of the Cognitive Science Program in the Department of Psychology at Vassar College.

At IBM he has done work on mobile robot navigation, machine learning, wearable computers, and vegetable recognition. Most recently he has been involved with computer vision for video search, biometric identification, and advanced user interfaces. He is generally interested in robotics, vision, and complete AI systems. At AGI-08, the first conference on artificial general intelligence, he presented a talk with entitled "Four Paths to AGI," on his paper by the same name with Kenneth Livingston, explaining the methodological underpinnings of four broad categories to AI development (Silver Bullets, Core Values, Emergence, and Emulation).

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Four Paths to AI

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AGI-08, Overview of AGI Research, Four Paths to AI