AAAI——C4P推薦指數(shù)
難 ? ?度：★★★★★
權(quán) ? ?威：★★★★★
關(guān)注度：★★★★★
無論AAAI這個會議你是否熟悉，乍一看這簡稱就不由得感覺牛逼（有種被triple kill的感覺，還有IEEE等）。
AAAI，即The Associationfor Advancement of Artificial Intelligence（國際人工智能協(xié)會）的簡稱，該組織每年舉辦的學(xué)術(shù)會議AAAI Conference on Artificial Intelligence是該領(lǐng)域公認的權(quán)威性頂級會議，會議也以AAAI為簡稱。
到底這個會有多牛？實話講，我不知道（自知能力有限，沒有投過）。但CCF人工智能領(lǐng)域會議排名No.1的頭銜，給人感覺，這就是AI領(lǐng)域的“中神通王重陽”。到這里可能就有爭論了，倒不是NIPS，ICML，CVPR這些會議不如AAAI，只是這三個會議分別偏重于自然語言處理，機器學(xué)習(xí)和模式識別，而AAAI則是人工智能領(lǐng)域的綜合性會議。因此，個人認為大家不分伯仲，都是頂級A類會議。
由于Scope涉及人工智能各個領(lǐng)域，據(jù)不可靠網(wǎng)絡(luò)信息，每年該會議約接收2500余篇稿件，錄用500篇左右，錄用率在24%-28%之間。從錄用率和收錄篇數(shù)上看，AAAI可能比某些變態(tài)級頂級會議還是要稍微仁慈一些的。下圖給出了近五年的會議論文收錄情況，2018年的情況如何，就看你敢不敢試試啦！
一般來說，從會議近年的sessions可以大致了解到該會議收錄稿件的方向，如果你的文章正好能命中且強相關(guān)，錄用概率可能將會提高（當然不排除會議為您的Contribution設(shè)立新的session的可能性）。但像AAAI這樣的綜合性會議，session太多了，我們這里只給出AAAI 2017的Technical Sessions的鏈接（http://www.aaai.org/Conferences/AAAI/2017/aaai17program.pdf），有興趣的可以自行去看。
說了這么多沒用，下面該劃重點了：
Winter is not coming yet, AAAI 2018 deadline is coming！
AAAI 2018
摘要截稿：2017-09-08
全文截稿：2017-09-11
開會時間：2018-02-02
名稱：AAAI Conference onArtificial Intelligence
領(lǐng)域：人工智能
難度：★★★★★
CCF分類：A類
地點：New Orleans, USA
網(wǎng)址：http://www.aaai.org/Conferences/AAAI/aaai18.php
The purpose of the AAAI conference series is to promote research in artificial intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines. AAAI-18 is the Thirty-Second AAAI Conference on Artificial Intelligence. It will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards. AAAI-18 will also include additional programs for students and young researchers.
AAAI-18 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The conference scope includes all subareas of AI and machine learning. These include (but are not limited to) traditional topics such as search, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce.
For 2018, the Program Cochairs have absorbed the Cognitive Systems and Computational Sustainability tracks into the main conference technical program, with provision for distinguished oversight of reviews. In addition, the cochairs have initiated an Emerging Topics program which, this year, will encourage submissions and community building in the area of Human-AI Collaboration. Further details are listed below.
