Artificial intelligence thesis papers

Machine learning is another core part of AI. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.

Unsupervised learning is the ability to find patterns in a stream of input. Supervised learning includes both classification and numerical regression . Classification is used to determine what category something belongs in, after seeing a number of examples of things from several categories. Regression is the attempt to produce a function that describes the relationship between inputs and outputs and predicts how the outputs should change as the inputs change. In reinforcement learning [71] the agent is rewarded for good responses and punished for bad ones. The agent uses this sequence of rewards and punishments to form a strategy for operating in its problem space. These three types of learning can be analyzed in terms of decision theory , using concepts like utility . The mathematical analysis of machine learning algorithms and their performance is a branch of theoretical computer science known as computational learning theory . [72]

Artificial Intelligence is the science and engineering of making intelligent computer programs or machines. Artificial intelligence algorithms span several different branches of computer science and mathematics including: pattern recognition, predictive modeling , text mining and search, genetic programming , heuristics, inference, and ontology, and data analytics . Artificial intelligence is commonly referred to as machine learning and was originally developed to enable computers to learn. Today, the technology is based on a number of advanced mathematical methods for optimization, regression and classification and finds application in a wide variety of fields including: gaming, speech recognition, computer vision, expert systems, heuristic classification, medical diagnostics, and credit card fraud. 

In the not-so-far future the polar ice caps have melted and the resulting rise of the ocean waters has drowned all the coastal cities of the world. Withdrawn to the interior of the continents, the human race keeps advancing, reaching the point of creating realistic robots (called mechas) to serve them. One of the mecha-producing companies builds David, an artificial kid which is the first to have real feelings, especially a never-ending love for his "mother", Monica. Monica is the woman who adopted him as a substitute for her real son, who remains in cryo-stasis, stricken by an incurable disease. David is living happily with Monica and her husband, but when their real son returns home after a cure is discovered, his life changes dramatically. Written by Chris Makrozahopoulos <[email protected]>

Artificial intelligence thesis papers

artificial intelligence thesis papers

In the not-so-far future the polar ice caps have melted and the resulting rise of the ocean waters has drowned all the coastal cities of the world. Withdrawn to the interior of the continents, the human race keeps advancing, reaching the point of creating realistic robots (called mechas) to serve them. One of the mecha-producing companies builds David, an artificial kid which is the first to have real feelings, especially a never-ending love for his "mother", Monica. Monica is the woman who adopted him as a substitute for her real son, who remains in cryo-stasis, stricken by an incurable disease. David is living happily with Monica and her husband, but when their real son returns home after a cure is discovered, his life changes dramatically. Written by Chris Makrozahopoulos <[email protected]>

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