Cognitive Architectures & Cognitive Modelling (Helgason, Bach, Oltramari, Lane, Wang)
Cognitive Architectures & Cognitive Modelling
Panelists (from left to right): Helgi Helgason, Joscha Bach, Alessandro Oltramari, Peter Lane, Pei Wang
Winter Intelligence Oxford - AGI 12
http://winterintelligence.org - agi12
Continuing the mission of the first four AGI conferences, AGI-12@Oxford 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. Appropriately for this Alan Turing centenary year, this is the first AGI conference to be held in the UK.
The AGI conferences are the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.
AGI-12@Oxford will feature contributed talks and posters, keynotes, and a Special Session on Neuroscience and AGI. It will be held immediately preceding the first conference on AGI Safety and Impacts, which is organized by Oxford's Future of Humanity Institute; AGI-12 registrants will receive free admission to the latter conference. Proceedings will be published as a book in Springer's Lecture Notes in AI series.
"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. 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). 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.
Cognitive Architectures & Cognitive Modelling
Panelists (from left to right): Helgi Helgason, Joscha Bach, Alessandro Oltramari, Peter Lane, Pei Wang
Winter Intelligence Oxford – AGI 12
http://winterintelligence.org – agi12
Continuing the mission of the first four AGI conferences, AGI-12@Oxford 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. Appropriately for this Alan Turing centenary year, this is the first AGI conference to be held in the UK.
The AGI conferences are the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.
AGI-12@Oxford will feature contributed talks and posters, keynotes, and a Special Session on Neuroscience and AGI. It will be held immediately preceding the first conference on AGI Safety and Impacts, which is organized by Oxford’s Future of Humanity Institute; AGI-12 registrants will receive free admission to the latter conference. Proceedings will be published as a book in Springer’s Lecture Notes in AI series.
“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. 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). 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.
