AGI-14 — the Seventh Conference on Artificial Intelligence, was held in Quebec City this year. Continuing the mission of the past AGI conferences, it gathered 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).
The cynical side of me would like to answer the question, “Why Artificial General Intelligence?” with “… like fossil fuels we’re running out of natural resources”. Truly our interest in this conference over similar conferences such as AAAI is that the focus here is how to recreate human cognition where other conferences are strictly aimed at “thinking machine”. We found a lot of interesting research and results including those presented by Yoshua Bengio and Richard Granger. Our interest in this conference included the Opencog project; a project I was introduced to while spending a week in the Virgin Islands. We’re going to continue to determine whether the Opencog framework can have practical purposes in our work. We did contribute a concept for returning weighted results to the Atomspace from each evaluation to reduce the data that is scoured in each evaluation.
