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CogAI 2024 : Cognitive AI | |||||||||||||||||
Link: https://cognitive-ai.netlify.app/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
Following the success of its predecessor, HLC 2022, Cognitive AI 2023 (CogAI 2023, https://cognitive-ai.netlify.app/) will be held in Bari, Italy, from the 13th-15th of November 2023.
CogAI 2023 is an international workshop on the intersection of Cognitive Science and Artificial Intelligence. CogAI 2023 will be held as a component of the 3rd International Joint Conference on Learning & Reasoning, IJCLR 2023, ILP 2023, and AAIP 2023 (https://ijclr2023.di.uniba.it/). CogAI 2023 aims to facilitate discussion and exchange between internationally leading Artificial Intelligence and Cognitive Science researchers. The workshop will focus on research that studies how AI can be endowed with capacities that facilitate interaction and collaboration between AI and humans in ways that address fundamental cognitive and perceptual human abilities. Such abilities should support AI in interpreting the aims and intentions of humans based on learning and accumulated background knowledge to help identify contexts and cues from human behaviour. Developing AI systems requires understanding the computational principles underlying human cognition, perception, and communication, and are vital in applications with close interactions between AI and human users. The CogAI 2023 workshop aims to bring together AI and Cognitive Science researchers to investigate how both fields can contribute to developing next-generation AI systems that facilitate the fruitful interaction between humans and AI systems. Topics of interest include, but are not limited to: * Computational models or artificial agents of cognitive tasks. * Knowledge representations, learning, and reasoning. * Small data learning. * Learning with natural language, e.g., learning from text/verbal instruction or supervision. * Representation change Applied Topics of interest include, but are not limited to: * Interaction of people and systems * Intelligent tutoring * Assistant technology * Detecting stance, sarcasm, hate speech, humour, misinformation, etc. * Scientific discovery We solicit three types of submissions: Workshop papers: Papers should describe original work not being reviewed or published elsewhere. Submitted papers need not be anonymous, must be written in English, should be formatted using single column and 11pt font, and should not exceed three pages, including all figures but excluding references. You should use the CEUR Latex template or the CEUR Word template. Accepted workshop papers will be published in online CEUR proceedings. All submitted workshop papers will be judged based on relevance, originality, significance, and technical quality. Please submit your documents via EasyChair here and then select the Cognitive AI 2023 track. Journal Track: Authors are invited to submit high-quality CogAI work to the Machine Learning Journal Special Issue on Learning & Reasoning: https://www.springer.com/journal/10994/updates/17562232 Papers will be published online by MLJ upon acceptance, and authors of accepted papers are invited to present their work at the conference. For cut-off dates, starting from June 15th, 2023 please refer to: https://ijclr2023.di.uniba.it/~ijclr2023/dates/index.html Poster Submission: Authors are invited to submit posters with a maximum size of A0 and must be in portrait orientation. Although these posters will not be published in the proceedings, there will be a poster session for authors to present their work at the workshop. Important Dates * Abstract submission deadline: 6th July 2023 * Papers submission deadline: 13th July 2023 * Papers author notification: 25th August 2023 * Poster submission deadline: 1st September 2023 * Papers camera-ready due: 8th September 2023 * Author notification for posters: 15th September 2023 * CogAI 2023: 13-15th November 2023 Co-Programme Chairs Dr. Xue Li School of Informatics, University of Edinburgh Dr. Pablo León Villagrá Cognitive, Linguistic & Psychological Sciences, Brown University |
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