Dear friends and colleagues,
I am organizing a Special Track on NEUROSCIENCE and AI at the Artificial General Intelligence conference (AGI-10) that will take place 3-6 August 2011 in Mountain View, California, USA.
Previous AGI conferences in the series have clearly demonstrated the many areas of overlap between neuroscience and AI, as well as the strong need for more interaction and collaboration between the two fields of research.
CALL FOR NEUROSCIENCE PAPERS
We would like to specifically solicit paper submission from neuroscientists (and researchers in neuroscience related fields) that cover:
NEUROSCIENCE results of ideas with implications for ARTIFICIAL GENERAL INTELLIGENCE
Discussions of the relation between NEUROSCIENCE and ARTIFICIAL GENERAL INTELLIGENCE
Submission deadline is 15 FEBRUARY 2011.
We welcome solid theoretical papers, as well as those presenting relevant experimental results. We also welcome speculative ideas so long as they are properly grounded in science.
The generic Call for Papers below describes the conference and the paper submission process, which is identical for Neuroscience papers.
I hope to see you at AGI-11 in August!
Best regards,
Dr. Randal A. Koene, member Organizing Committee AGI-11
The original goal of the AI field was the construction of “thinking machines”, that is, computer systems with human-like general intelligence. For the last few decades, however, the majority of AI researchers have focused on what can be called “narrow AI” – systems with intelligence limited to specific, highly constrained tasks. In recent years 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 confronting the more difficult issues of human-level intelligence, and more broadly “artificial general intelligence” (AGI).
Continuing the mission of the first three highly successful Conferences on Artificial General Intelligence, AGI-11 will gather an international group of leading academic and industry researchers involved in serious scientific and engineering work aimed directly at the goal of AGI. This is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and beyond. AGI-11 will be hosted by Google in Mountain View, California.
Submit papers or proposals, for workshops, tutorials, or demos, electronically to EasyChair (you may need to Create an EasyChair Account first). Whether an accepted paper (either full-length or short position statement) will be presented as a talk or as a poster will be determined by the Program Committee, in part based on paper quality as assessed by the anonymous reviewers, and in part according to the extent the paper addresses a topic of core interest to the AGI community. All accepted papers are required to have at least one registered author per paper. Multiple papers require multiple registrations. AGI-11 will accept two types of submissions: full-length papers (10 pages) and short position statements (3 pages).
A good sense of the overall nature of the conference may be found via perusing AGI-10, AGI-09, and AGI-08.
Submissions should follow the Spring Lecture Notes in Artificial Intelligence author instructions here.
February 15, 2011 – Final Submissions
Whether an accepted paper (of either length) will be presented as a talk or as a poster will be determined by the Program Committee, in part based on paper quality as assessed by the anonymous reviewers, and in part according to the extent the paper addresses a topic of core interest to the AGI community.
The acceptance of a paper is based on the assumption that one of the authors will attend the conference to present the paper. Any questions can be directed to one of the conference chairs.
Springer-Verlag will hold the copyright to the published paper. Authors should archive their paper on their own web site as well, with the following text included: “The original publication is available at www.springerlink.com”. The Springer Lecture Notes in Artificial Intelligence copyright form is available here.
Call for Papers
The original goal of the AI field was the construction of “thinking machines”, that is, computer systems with human-like general intelligence. For the last few decades, however, the majority of AI researchers have focused on what can be called “narrow AI” – systems with intelligence limited to specific, highly constrained tasks. In recent years 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 confronting the more difficult issues of human-level intelligence, and more broadly “artificial general intelligence” (AGI).
Continuing the mission of the first three highly successful Conferences on Artificial General Intelligence, AGI-11 will gather an international group of leading academic and industry researchers involved in serious scientific and engineering work aimed directly at the goal of AGI. This is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and beyond. AGI-11 will be hosted by Google in Mountain View, California.
Submit papers or proposals, for workshops, tutorials, or demos, electronically to EasyChair (you may need to Create an EasyChair Account first). Whether an accepted paper (either full-length or short position statement) will be presented as a talk or as a poster will be determined by the Program Committee, in part based on paper quality as assessed by the anonymous reviewers, and in part according to the extent the paper addresses a topic of core interest to the AGI community. All accepted papers are required to have at least one registered author per paper. Multiple papers require multiple registrations. AGI-11 will accept two types of submissions: full-length papers (10 pages) and short position statements (3 pages).
A good sense of the overall nature of the conference may be found via perusing AGI-10, AGI-09, and AGI-08.
Author Instructions
Submissions should follow the Spring Lecture Notes in Artificial Intelligence author instructions here.
Important Dates
February 15, 2011 – Final Submissions
AGI-11 Submissions Policy
Whether an accepted paper (of either length) will be presented as a talk or as a poster will be determined by the Program Committee, in part based on paper quality as assessed by the anonymous reviewers, and in part according to the extent the paper addresses a topic of core interest to the AGI community.
The acceptance of a paper is based on the assumption that one of the authors will attend the conference to present the paper. Any questions can be directed to one of the conference chairs.
AGI-11 Copyright Policy
Springer-Verlag will hold the copyright to the published paper. Authors should archive their paper on their own web site as well, with the following text included: “The original publication is available at www.springerlink.com”. The Springer Lecture Notes in Artificial Intelligence copyright form is available here.
The AGI conference will be part of Springer Lecture Notes in Artificial Intelligence (LNAI). This subseries is devoted to the publication of state-of-the-art research results in artificial intelligence, at a high level and in both printed and electronic versions. The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
The AGI conference will be part ofSpringer Lecture Notes in Artificial Intelligence (LNAI). This subseries is devoted to the publication of state-of-the-art research results in artificial intelligence, at a high level and in both printed and electronic versions. The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.