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    Computational Linguistics

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    Computational Linguistics Computational linguistics is a discipline between linguistics and computer science which is concerned with the computational aspects of the human language. This area of computer science overlaps with the field of Artificial Intelligence. Basically, computational linguistics is a series of programs that interprets human speech into words and actions. There are a couple of different areas of computational linguistics and those areas are theoretical computational linguistics

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    Computational Complexity and the Origin of Universals ABSTRACT: This paper establishes close relationships between fundamental problems in the philosophical and mathematical theories of mind. It reviews the mathematical concepts of intelligence, including pattern recognition algorithms, neural networks and rule systems. Mathematical difficulties manifest as combinatorial complexity of algorithms are related to the roles of a priori knowledge and adaptive learning, the same issues that have shaped

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    Computational Complexity and Philosophical Dualism ABSTRACT: I examine some recent controversies involving the possibility of mechanical simulation of mathematical intuition. The first part is concerned with a presentation of the Lucas-Penrose position and recapitulates some basic logical conceptual machinery (Gödel's proof, Hilbert's Tenth Problem and Turing's Halting Problem). The second part is devoted to a presentation of the main outlines of Complexity Theory as well as to the introduction

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    heat transfer from cylinder, cylinder head, etc. and fluid flow requires lots of experimental effort for the analysis. It is very time consuming and costly process. Computational fluid dynamics, is a branch of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows. Computational fluid dynamics analysis is nothing but the simulation process which involves heat flow as well as fluid flow on the basis of computer. CFD technique is powerful tool

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    also indispensable. As I move ahead in the future, I strongly desire for a program that would help me build a comprehensive foundation in the field of Computer Science. Within this field, I have developed a deep interest in the area of Theory and Computational Science. More specifically I find algorithms and theory of computation the most appealing areas due to their application in solving many real world problems. My undergraduate course in the field of Electronics Engineering has given me a comprehensive

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    Turing: Concept of Computation

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    'f'. As 'computer' names a nonnatural kind, almost everyone agrees that a computational interpretation of this sort is necessary for something to be a computer. But because everything in the universe satisfies at least one (mathematical) function, it is the sufficiency of such interpretations that is the problem. If, as anticomputationalists are fond of pointing out, computationalists are wedded to the view that a computational interpretation is sufficient for something to be a computer, then everything

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    Artificial Intelligence

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    name because it is not natural intelligence. This is why the name “computational intelligence”, or CI, is sometimes preferred. Artificial intelligence is used in many objects that we use everyday: cars, microwaves, personal computers, and videogames. There are many different goals for AI, depending upon your field or view. Computer science attempts to make computer systems do what only humans could do in the past. Computational philosophy tries to understand human intelligence at a computer level

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    Cognitive Psych Review

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    THE BASICS 1. The role of computation in cognition 2. Marr's levels (barn owl experiment) 1.     Computational theory: What is the goal of the computation, why is it appropriate, and what is the logic of the strategy by which it can be carried out? 2.     Representation and algorithm: How can this computational theory be implemented? In particular, what is the representation for the input and output, and what is the algorithm for the transformation? 3.     Hardware implementation: How can the representation

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    The History of Computers

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    that allowed the user to calculate answers without doing arithmetic (Hoyle). In addition to the abacus and the Pascaline, Babbage's Folly, also known as the difference machine, "hastened the development of computers. [and] advanced the state of computational hardware" (Long 55). This engine, designed by the Cambridge professor Charles Babbage, could do any of the basic functions of mathematics: adding, subtracting, multiplying, and division in series at a "rate of 60 additions per minute" (55) could

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    require constant communication with the people in these areas and these people are a different breed of communicators. The typical IT person is computer literate and usually very intelligent. They have incredible deductive reasoning and superior computational abilities. Most of them are very introverted and have little or no social graces, not to mention any ability to communicate. Communication among their peers is usually something like a script from a very poorly written science fiction book or

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