文件名称：Machine Learning. A Constraint-based Approach
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更新时间：2021-08-19 16:44:46
机器学习
Machine Learning projects our ultimate desire to understand the essence of human intelligence onto the space of technology. As such, while it cannot be fully understood in the restricted field of computer science, it is not necessarily the search of clever emulations of human cognition. While digging into the secrets of neuroscience might stimulate refreshing ideas on computational processes behind intelligence, most of nowadays advances in machine learning rely on models mostly rooted in mathematics and on corresponding computer implementation. Notwithstanding brain science will likely continue the path towards the intriguing connections with artificial computational schemes, one might reasonably conjecture that the basis for the emergence of cognition should not necessarily be searched in the astonishing complexity of biological solutions, but mostly in higher level computational laws. Machine learning and information-based laws of cognition. The biological solutions for supporting different forms of cognition are in fact cryptically interwound with the parallel need of supporting other fundamental life functions, like metabolism, growth, body weight regulation, and stress response. However, most human-like intelligent processes might emerge regardless of this complex environment. One might reasonably suspect that those processes be the outcome of information-based laws of cognition, that hold regardless of biology. There is clear evidence of such an invariance in specific cognitive tasks, but the challenge of artificial intelligence is daily enriching the range of those tasks.While no one is surprised anymore to see the computer power in math and logic operations, the layman is not very well aware of the outcome of challenges on games, yet. They are in fact commonly regarded as a distinctive sign of intelligence, and it is striking to realize that games are already mostly dominated by computer programs! Sam Loyd’s 15 puzzle and the Rubik’s cube are nice examples of successes of computer programs in classic puzzles. Chess, and more recently, Go clearly indicate that machines undermines the long last reign of human intelligence. However, many cognitive skills in language, vision, and motor control, that likely rely strongly on learning, are still very hard to achieve.