AGI-17 @ Melbourne, Australia

Aug 15-18, 2017

Continuing the mission of the past AGI conferences, AGI-17 gathers an international group of leading academic and industry researchers involved in scientific and engineering work aimed directly toward the goal of Artificial General Intelligence (AGI).

AGI 17 in Melbourne


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-17 will be published as a book in Springer’s Lecture Notes in AI series, and all the accepted papers will be available online.

“Artificial General Intelligence”

The original goal of the AI field was the construction of “thinking machines” – that is, 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.