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INTERACTIVE AND INCREMENTAL LEARNING VIA A MULTISENSORY MOBILE ROBOT
, 2001
"... As computers are widely used and computerprogramming gets increasingly complicated, computer users and programmers demand more convenient humancomputer interfaces and programming tools. Motivated by facilitating computer programming and humancomputer interaction, this project explores teaching a ..."
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As computers are widely used and computerprogramming gets increasingly complicated, computer users and programmers demand more convenient humancomputer interfaces and programming tools. Motivated by facilitating computer programming and humancomputer interaction, this project explores teaching a computer to react properly to external stimuli through natural humancomputer interaction. The longterm goal of the project is to program a computer as we teach an infant, and to enable the computer to interact with us like a human and perform jobs accordingly. The project uses a multisensory mobile robot as the interface for natural humancomputer interaction. We develop a computational efficient scheme that facilitates the robot to learn spoken language online, and react properly to learned speech commands. Compared to the existing speech recognizers, our system does not use text or other symbolic information to represent speech, thus is not restricted by the limitations that a speechtotext mechanism may inherently have. Due to this fact, our system can learn speech online in any language. This learning flexibility is not achieved by stateoftheart speech recognizers. The thesis reports the design and implementation of our scheme for spoken language
2 Instruction Set Principles and Examples
"... A n Add the number in storage location n into the accumulator. E n If the number in the accumulator is greater than or equal to zero execute next the order which stands in storage location n; otherwise proceed serially. Z Stop the machine and ring the warning bell. ..."
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A n Add the number in storage location n into the accumulator. E n If the number in the accumulator is greater than or equal to zero execute next the order which stands in storage location n; otherwise proceed serially. Z Stop the machine and ring the warning bell.
1 Number System (Lecture 1 and 2 supplement)
"... Many different number systems perhaps from the prehistoric era have been developed and evolved. Among them, binary number system is one of the simplest and effective number systems, and has been extensively used in digital systems. Studying number systems can help you understand the basic computing ..."
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Many different number systems perhaps from the prehistoric era have been developed and evolved. Among them, binary number system is one of the simplest and effective number systems, and has been extensively used in digital systems. Studying number systems can help you understand the basic computing processes by digital systems. 1.1 Positional Number Systems A good example of positional number system is the decimal number system in which we use them almost everywhere number is needed. Another example is the binary system that is used as the basic number system for all computers. In positional number systems, a number is represented by a string of digits where the position of each digit is associated with a weight. In general, a positional number is expressed as: d d ⋅ ⋅ ⋅ d d. d d ⋅ ⋅ ⋅ d m−1 m−2 1 0 −1 −2 − n where d is referred to as the most significant digit (MSD) and m−1 d as the least significant digit − n (LSD). Each digit position has an associated weight b i where b is called the base or radix. The point in the middle is referred to as a radix point and is used to separate the integer and fractional part of a number. Integer part is in the left side of the radix point; fraction part is in the right side of the radix point. Fraction is a portion of magnitude of a number which is less than unit (e.g. fraction < 1) and thus it is called a fraction. Let D denote the value (or magnitude) of a positional number, then D can be always calculated by: m− i = − n 1 D = d ⋅ b