Three methods for improving the performance of (gaussian) radial basis function (RBF) networks were tested on the NETtaik task. In RBF, a new example is classified by computing its Euclidean distance to a set of centers chosen by unsupervised methods. The application of supervised learning to learn a non-Euclidean distance metric was found to reduce the error rate of RBF networks, while supervised learning of each center's variance resultedin inferior performance. The best improvement in accuracy was achieved by networks called generalized radial basis function (GRBF) networks. In GRBF, the center locations are determined by supervised learning. After training on 1000 words, RBF classifies 56.5% of letters correct, while GRBF scores 73.4% letters correct (on a separate test set). From these and other experiments, we conclude that supervised learning of center locations can be very important for radial basis function learning.

I met Allen for the first time when I came for a two semester long visit to Carnegie Mellon University in 1968. This encounter was a distinct factor in my later decision to join the faculty at Carnegie Mellon University.

Allen Newell was one of the founders and truly great scientists of AI. His contributions included foundational concepts and ground-breaking systems. His career was defined by the pursuit of a single, fundamental issue: the nature of the human mind. This article traces his pursuit from his early work on search and list processing in systems such as the LOGIC THEORIST and the GENERAL PROBLEM SOLVER; through his work on problem spaces, human problem solving, and production systems; through his final work on unified theories of cognition and SOAR.

Books in the Innovative Applications of Artificial for the documents they want.

Allen Newell, one of the founders of AI and cognitive science, died on July 19th, 1992.

Models in the Mind: Theory Perspective, in Open Worlds: A Case Study in Design.

The Department of Computer Science at Louisiana State University (LSU) has been involved in robotics research since 1992 when the Robotics Research Laboratory (RRL) was established as a research and teaching program specializing in autonomous mobile robots (AMRS). Researchers at RRL are conducting high-quality research in amrs with the goal of identifying the computational problems and the types of knowledge that are fundamental to the design and implementation of autonomous mobile robotic systems. In this article, we overview the projects that are currently under way at LSU's RRL.

An effective to develop an abstract UI model which solution to this problem must have three encompasses the essence of those systems.

Alan Turing's decades-old question still influences artificial intelligence because of the simple test he proposed in his article in Mind. In this article, AI Magazine collects presentations about the first round of the classic Turing Test of machine intelligence, held November 8, 1991 at The Computer Museum, Boston. Robert Epstein, Director Emeritus, Cambridge Center for Behavioral Studies, and an adjunct professor of psychology, Boston University, University of Massachusetts (Amherst), and University of California (San Diego) summarizes some of the difficult issues during the planning of this first real-time competition, and describes the event. Presented in tandem with Dr. Epstein's article is the actual transcript of session that won the Loebner Prize Competition--Joseph Weintraub's computer program PC Therapist. In 1985 an old friend, Hugh Loebner, told me The intricacies of setting up a real Turing Test excitedly that the Turing Test should be made that would ultimately yield a legitimate into an annual contest. We were ambling winner were enormous. Small points were down a Manhattan street on our way to occasionally debated for months without dinner, as I recall. Hugh was always full of clear resolution. Turing, proposed a variation on a simple Four years later, while serving as the director parlor game as a means for identifying a of the Cambridge Center for Behavioral Studies, machine that can think: A human judge an advanced studies institute in Massachusetts, interacts with two computer terminals, one I established the Loebner Prize controlled by a computer and the other by a Competition, the first serious effort to locate person, but the judge doesn't know which is a machine that can pass the Turing Test. If, after a prolonged conversation at Hugh had come through with a pledge of each terminal, the judge can't tell the difference, $100,000 for the prize money, along with we'd have to say, asserted Turing, that some additional funds from his company, in some sense the computer is thinking. Crown Industries, to help with expenses. The Computers barely existed in Turing's day, but, quest for the thinking computer had begun. I'll then describe that After much debate, the Loebner Prize Committee first event, which took place on November 8, ultimately rejected Turing's simple 1991, at The Computer Museum in Boston two-terminal design in favor of one that is and offer a summary of some of the data generated more discriminating and less problematic. Finally, I'll speculate The two-terminal design is troublesome for about the future of the competition--now an several reasons, among them: The design presumes annual event, as Hugh envisioned--and that the hidden human--the human about its significance to the AI community.

Alan Turing's decades-old question still influences artificial intelligence because of the simple test he proposed in his article in Mind. In this article, AI Magazine collects presentations about the first round of the classic Turing Test of machine intelligence, held November 8, 1991 at The Computer Museum, Boston. Robert Epstein, Director Emeritus, Cambridge Center for Behavioral Studies, and an adjunct professor of psychology, Boston University, University of Massachusetts (Amherst), and University of California (San Diego) summarizes some of the difficult issues during the planning of this first real-time competition, and describes the event. Presented in tandem with Dr. Epstein's article is the actual transcript of session that won the Loebner Prize Competition--Joseph Weintraub's computer program PC Therapist. In 1985 an old friend, Hugh Loebner, told me The intricacies of setting up a real Turing Test excitedly that the Turing Test should be made that would ultimately yield a legitimate into an annual contest. We were ambling winner were enormous. Small points were down a Manhattan street on our way to occasionally debated for months without dinner, as I recall. Hugh was always full of clear resolution. Turing, proposed a variation on a simple Four years later, while serving as the director parlor game as a means for identifying a of the Cambridge Center for Behavioral Studies, machine that can think: A human judge an advanced studies institute in Massachusetts, interacts with two computer terminals, one I established the Loebner Prize controlled by a computer and the other by a Competition, the first serious effort to locate person, but the judge doesn't know which is a machine that can pass the Turing Test. If, after a prolonged conversation at Hugh had come through with a pledge of each terminal, the judge can't tell the difference, $100,000 for the prize money, along with we'd have to say, asserted Turing, that some additional funds from his company, in some sense the computer is thinking. Crown Industries, to help with expenses. The Computers barely existed in Turing's day, but, quest for the thinking computer had begun. I'll then describe that After much debate, the Loebner Prize Committee first event, which took place on November 8, ultimately rejected Turing's simple 1991, at The Computer Museum in Boston two-terminal design in favor of one that is and offer a summary of some of the data generated more discriminating and less problematic. Finally, I'll speculate The two-terminal design is troublesome for about the future of the competition--now an several reasons, among them: The design presumes annual event, as Hugh envisioned--and that the hidden human--the human about its significance to the AI community.