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人工知能学会メーリングリストの皆さま
立命館大学の谷口彰です。
IEEE-WCCI2024 (IEEE IJCNN2024)にて企画しておりますワークショップの講演募集について再度アナウンスさせていただきます。
本ワークショップでは、全脳レベルでの計算モデル構築とそのための認知モデルの役割や脳型認知アーキテクチャの解釈可能性について議論します。
全脳計算モデルに限らず、個別の認知モデル構築や特定の脳領域に触発されたAI・ロボティクスについての講演発表も歓迎しております。
原稿はExtended Abstractの形式も受け付けます。
5/1〆切になっております。
投稿のほど、よろしくお願いいたします。
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The workshop entitled "Towards Realizing Whole-Brain Computational Models Guided by Cognitive Models" (WBCM-CogM) will be held at IEEE-WCCI (World Congress on Computational Intelligence) on one day in June 30, 2024 - July 5, 2024. Registration for presentations is now open, and we look forward to receiving your submissions (deadline: May 1, 2024).
About this workshop
In recent years, there has been a focused effort to develop Whole Brain Computational Models (WBCMs), aiming to represent the entire brain's functions and contribute to creating artificial intelligence with human-level capabilities. WBCMs involve not only neuroscientific but also cognitive models, especially in constructing a cognitive architecture for consistency. Cognitive models enhance interpretability in implementing WBCMs into AI agents, providing insight into subjective thought processes. This approach, resembling human cognition, offers potential psychological reassurance to users. The discussion about the relationship between cognitive models and WBCMs is linked to AI alignment debates, crucial as powerful AI systems develop. The workshop aims to discuss methodologies, emphasizing the role of cognitive models in ensuring accurate, realistic, and ethically aligned artificial general intelligence.
This workshop will consist of a general presentation session and a discussion session. The general presentation sessions include oral and poster presentations (plus short talks). Preference for presentation style (oral or poster) will be accepted at the time of application, but which one may change depending on the status of the application.
Location (on-site):
PACIFICO Yokohama
1-1-1 Minato Mirai, Nishi-ku, Yokohama, Japan
The topic of interests:
Cognitive model / architecture
Whole-brain computational model / Neural network
AI alignment / Interpretability
Artificial general intelligence
General purpose robotics
Predictive coding
Free energy principle
Emotion and memory
Generative AI / Large-Language Model / GPT Utilization
Experiment-based model construction
Important dates:
Paper Submission Deadline: May 1
More Information is included below:
https://sites.google.com/em.ci.ritsumei.ac.jp/ijcnn2024workshop-wbcm
We welcome you and your colleagues to present papers and participate in discussions.
If you have any questions, please contact the Workshop organizers.
Akira Taniguchi: a.taniguchi@em.ci.ritsumei.ac.jp
Yoshimasa Tawatsuji: y.tawatsuji@weblab.t.u-tokyo.ac.jp
Junya Morita: j-morita@inf.shizuoka.ac.jp
Best regards,
WBCM-CogM Workshop organizers |