Towards Realizing Whole-Brain Computational Models Guided by Cognitive Models (WBCM-CogM)

Aim and Scope:

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 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 to realize WBCMs, emphasizing the role of cognitive models.

The topic of interests:

Date and Location:



Please register with WCCI at the following site before you attend this Workshop. (One-Day Registration is available for participation only on 30 June.)

https://2024.ieeewcci.org/registration

Important Dates:

CFP:

Application form: [Google form]


Manuscripts should be written according to the following guidelines.


We welcome you and your colleagues to present papers and participate in discussions. 

Submitted manuscripts will be reviewed by the organizers. 


📌 Following the workshop, we will organize a special issue in the Frontiers journal.

Submission of papers extending your presentations in the workshop is encouraged.

Submissions of papers not presented at this workshop are also welcome.

Contents and Schedule:


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 will be accepted at the time of application, but which one may change depending on the status of the application.


The discussion will focus on the question: How can we develop socially agreeable, interpretable (explainable) brain-inspired cognitive architectures? 

We're looking for some invited speakers from diverse backgrounds in neuroscience, AI, and robotics.

Organizers:

Ritsumeikan University, Japan

The University of Tokyo, Japan

Shizuoka University, Japan