The Fifth Annual Conference on Advances in Cognitive Systems will take place May 12-14, 2017, at Rensselaer Polytechnic Institute in Troy, New York, USA. A related workshop on Cognitive and Immersive Systems (CAIS 2017) will be held in EMPAC at Rensselaer, on May 11. If you are interested in joining the CAIS workshop, please send an email to Matthew Peveler (pevelm@rpi.edu) with name, email, and affiliation.
The meeting aims to bring together researchers interested in building computational artifacts that focus on high-level cognition and decision making, reliance on rich, structured representations, and incorporation of insights about human thinking. This venue is for dissemination of research results pertaining to the original, yet unmet goals of Artificial Intelligence: to produce computational systems that reproduce a broad range of human cognitive abilities.
The conference welcomes work on any topic related to the representation or organization of complex knowledge structures, their use in multi-step cognition, or their acquisition from experience or instruction. Some functional capabilities that arise in this context include, but are not limited to:
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Registration for the 2017 Conference is through the Eventbrite page. Registration will cost $225.
For information on local travel and accommodation for the 2017 Conference, please see the Hotel and Transportation page, or download as an information sheet.
Manuscripts should be submitted to the conference EasyChair page. Manuscripts are limited to 12 pages. Papers accepted for the conference will be allotted up to an additional four pages for further elaboration. Accepted papers may also be invited to appear in the online journal, Advances in Cognitive Systems. Submissions should be formatted according to instructions provided at http://www.cogsys.org/format/, which provides Latex and Word templates. Each submission should state explicitly the problem or capability it addresses, describe its response to this problem, make claims about this approach, and provide evidence in support of these claims. Every paper should also discuss related efforts, examine limitations of the reported work, and outline plans for future research.
Because the conference aims to encourage research toward a broader understanding of intelligence, its criteria include demonstrating new functionality, integrating different facets of intelligence, presenting a novel approach to an established problem, explaining complex cognition in humans, and formally analyzing a difficult new task. We also welcome submissions on new problems or testbeds that challenge existing approaches.
Each submission will be assigned to multiple referees who will evaluate the paper for its contribution to understanding cognitive systems, clarity of claims about this contribution, convincing evidence in support of those claims, and cogent presentation of its ideas to readers. We encourage authors to examine the review form before drafting their manuscripts to ensure that their submissions address all of the dimensions on which reviewers will evaluate them.
The conference aims to be as inclusive as possible while still fostering innovative research on the computational nature of intelligence. The conference FAQ page (http://www.cogsys.org/faq/) attempts to clarify the scope of the event. Authors who have questions about whether their research is appropriate for the meeting should contact the Conference Chair, via paul.bello@nrl.navy.mil, for additional information.
Important Dates for Paper Submission |
This year, ACS will feature a program of over twenty invited speakers spanning a wide range of research areas germane to cognitive systems research. Topics will include planning, problem solving, learning, reasoning, human-robot interaction, advances in computational cognitive architecture, language understanding in cognitive systems, the perception-cognition interface, and philosophical foundations for cognitive systems research. ACS is delighted to welcome:
ACS 2017 is supported by the Cognitive and Immersive Systems Lab, a collaboration between RPI and IBM: http://cisl.rpi.edu