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引用次数: 12

摘要

近年来,人工智能在许多地区的应用呈指数级增长。教育、交通、金融和卫生等领域在过去十年里取得了巨大进步;从预测股票市场价格和无人驾驶汽车到预测人体癌细胞。人工智能和机器学习的结合,让世界变得比过去更好。在本文中,我描述了一种增强人工智能和人类智能的新方法,其目标是使用自适应智能代理和深度神经网络增强人类活动的能力。任何智能系统都会遇到人工干预必不可少的情况;其中需要人类智能来完成代理的功能。这种世界的交叉是增强人类和人工智能的关键。我们可以通过在认知过程中引入行为和情境作为变量来增强实体的能力。
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Augmented intelligence: Enhancing human capabilities
Recent times have seen an exponential increase in the use of artificial intelligence in numerous regions. Fields like education, transport, finance, and health have made drastic improvements in the last decade; from predicting the stock market prices and driverless cars to predicting cancer cells in human body. Artificial intelligence and Machine learning combined, have shaped the world to be a better place than yesterday. In this paper, I describe a novel approach towards augmenting artificial and human intelligence with the goal of enhancing the capabilities of human activity using adaptive intelligent agents and deep neural networks. Any intelligent system would have come across a situation where human intervention is essential; wherein human intelligence is required for the complete functioning of the agent. This crossover of the worlds is the key to augmenting both human and artificial intelligence. We can enhance the capabilities of both the entities by introducing behavior and context as variables in the cognitive process.
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