重磅开讲|图灵奖得主——JosephSifakis

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Joseph Sifakis

●图灵奖得主

●长期访问杰出教授

●法国科学院院士

●法国国家工程院院士

●欧洲科学院院士

●美国艺术与科学学院

  院士

●美国国家工程院院士

报告题目

Machine Intelligence – Myths and Reality

报告时间

  2022年6月17日15:00-17:00

摘要

We attempt a multifaceted comparison between human and machine intelligence, based on our research on autonomous systems and our recent book (*) analyzing the links between information, knowledge and intelligence.  

Starting from the observation that there is a great confusion about what intelligence is and how it can be obtained, we discuss the relevance of existing criteria for comparing human and machine intelligence. In addition, we compare the veracity and validity of knowledge produced by humans and machines, showing some notable analogies and differences between scientific knowledge and that produced by neural networks.

We highlight autonomy as an important step from weak AI to general AI, present a characterization of autonomous systems, and discuss their main differences from automated systems.

We show how some aspects of human intelligence can be modeled by a mental system, i.e., an autonomous system with additional features and mechanisms that account for intelligent behavior.

In addition, we identify two characteristic functions of human intelligence and highlight the research challenges in bridging the gap with machine intelligence.

We conclude with a look at what the future holds, discussing the societal impact of intelligent systems and the potential for collaboration between humans and machines to push the frontiers of knowledge development and application.

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