Accepted papers is going to be accessible digitally about the workshop’s Site. Some lengthy papers will be selected for talks; all papers is going to be presented as posters. Papers less than evaluate at other venues are welcome since GenPlan is non-archival and will not call for copyright transfer.
We be expecting fifty-seventy five participants and most likely extra As outlined by our previous ordeals. We warmly invite scientists, practitioners, and students from both academia and market to affix us in Discovering and speaking about answers for addressing the issues of scalability and efficiency in AI.
The workshop will be a complete-day workshop with a mix of keynotes, contributed talks, focused conversations, and poster periods. The morning session will encompass talks and conversations about the problems of choice-generating and learning determined by cognitive modeling at cooperative MAS and AI methods’ eyesight.
Submissions to your Specific observe could be both total or short papers, and we talk to authors to choose the Specific keep track of selection through submission.
We look ahead to your submissions and to looking at you for the workshop. When you've got any concerns, remember to Be at liberty to Get in touch with the Arranging committee.
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Each exhibit will showcase a special technologies or capacity, with Lincoln Laboratory experts accessible to explore likely applications and collaborative investigate prospects. Registration is needed, and attendance is restricted to U.S. citizens and long-lasting inhabitants.
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Two forms of papers are welcomed: Exploration papers (as many as 4 web pages in AAAI structure, excluding references). Papers presently accepted at best ML and AI conferences in the final calendar year.
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