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Artificial Intelligence (AI) is an aspiration, an idea conceived at the beginning of computer science, that would revolutionize the world if achieved. The ultimate goal of AI is to create agents (i.e., computer programs) that can solve problems in the world as well as humans. To advance this vision, most researchers focus on studying particular aspects of AI independently, such as learning, perception, reasoning, or language. This approach has led to important advances and cutting-edge technologies, but it has a drawback. The agents that result from only considering one aspect of AI have a narrow sense of intelligence. They outperform humans in few concrete tasks (e.g., playing the game of Go) while being useless in other contexts. Building agents that solve problems as well as humans requires a global view of AI. My research embraces this view by incorporating insights from three core aspects of intelligence: knowledge, reasoning, and learning, in service of building general-purpose agents with theoretical guarantees and state-of-the-art performance.
Artificial Intelligence (AI) is an aspiration, an idea conceived at the beginning of computer science, that would revolutionize the world if achieved. The ultimate goal of AI is to create agents (i.e., computer programs) that can solve problems in the world as well as humans. To advance this vision, most researchers focus on studying particular aspects of AI independently, such as learning, perception, reasoning, or language. This approach has led to important advances and cutting-edge technologies, but it has a drawback. The agents that result from only considering one aspect of AI have a narrow sense of intelligence. They outperform humans in few concrete tasks (e.g., playing the game of Go) while being useless in other contexts. Building agents that solve problems as well as humans requires a global view of AI. My research embraces this view by incorporating insights from three core aspects of intelligence: knowledge, reasoning, and learning, in service of building general-purpose agents with theoretical guarantees and state-of-the-art performance.
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论文共 27 篇作者统计合作学者相似作者
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Applied Sciencesno. 8 (2024)
arxiv(2022)
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European Conference on Artificial Intelligence (ECAI)pp.4785-4792, (2022)
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