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To register for free for the virtual AGI-20 conference, now extended to June 22-26, 2020, please submit your email on this Google form.
PLEASE REFER TO THE SCHEDULE PAGE FOR THE LATEST SCHEDULING UPDATES
June 22-26, 2020 Virtual Conference
The AGI conferences, since the first one way back in 2006, have been organized by the Artificial General Intelligence Society, in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI). The proceedings of AGI-20 are published as a book in Springer’s Lecture Notes in AI series and the eBook version can be found at: https://link.springer.com/book/10.1007/978-3-030-52152-3
“Artificial General Intelligence”
To understand the meaning and importance of the AGI conference series, recall that the original goal of the AI field, when it was founded in the middle of the previous century, was the construction of “thinking machines” – computer systems with human-like general intelligence. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called “narrow AI” – the production of AI systems displaying intelligence regarding specific, highly constrained tasks.
In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field by treating intelligence as a whole. Increasingly, there is a call for a transition back to confronting the more difficult issues of “human-level intelligence” and more broadly artificial general intelligence. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense.
The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of “artificial intelligence”. The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. As the AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever.