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生化通用人工智能——通用人工智能的哲学原理及算法实例

Generated Artificial General Intelligence—The Philosophical Principle and Algorithm Example of Artificial General Intelligence
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摘要 近年来,随着脑科学、神经科学、认知科学的发展,人工智能技术取得了一系列成果。但仍然未能实现人类级别通用型的人工智能,有关大脑思维认知结构、意识等问题仍然是人类未解之谜。通过综合宇宙、生命及思维的演化规律,总结出一种通用生化智能模型及其哲学原理和算法结构,并对思维意识各项功能逐一进行举例运算。结果表明该模型及其依据的原理、算法符合智能物种的生物学、物理学、神经科学、认知科学及哲学的基本特征,是一种模拟人类智能的通用人工智能实现模型,对人类的认知、思维、意识的运作模式也有较好的启迪。 In recent years, with the development of brain science, neuroscience and cognitive science, artificial intelligence technology has made a series of achievements. However, it still fails to achieve the human level of universal artificial intelligence, and the cognitive structure and consciousness are still mysteries. This paper integrates the evolutionary laws of the universe, life and thinking, summarizes a model of generated general intelligence and reveals its philosophical principle and algorithm structure, then calculates the functions of thinking and consciousness one by one. The results show that the model and its based principles and algorithms conform to the characteristics of biology, physics, neuroscience, cognitive science and philosophy of intelligent species. It is an implementation model of artificial general intelligence that simulates human intelligence. This paper reveals the characteristics of cognition, thinking and consciousness, which also has a good enlightenment to the operation mode of human cognition, thinking and consciousness.
作者 马超
出处 《人工智能与机器人研究》 2022年第4期368-386,共19页 Artificial Intelligence and Robotics Research
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