Connectionists: NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems"

[Rava A. da Silveira]

NeurIPS Workshop:
"Information-Theoretic Principles in Cognitive Systems"

CALL FOR PAPERS

Website (with submission information):
https://sites.google.com/view/infocog-neurips-2023/call-for-papers

Contact:
infocog.neurips2023 at gmail.com

Important Dates:
* Paper submission deadline: September 20, 2023
* Author notification: October 27, 2023
* Camera ready deadline: November 27, 2023

The second InfoCog at NeurIPS workshop aims to further the understanding of
information flow in cognitive processes and neural networks models of
cognition by bringing together researchers from multiple disciplines,
including machine learning, cognitive science, neuroscience, and
information theory. This is the second workshop of this kind in NeurIPS.
This year the workshop will continue last year’s community-building
momentum and will additionally focus on advancing two main goals: First,
providing a fruitful platform for discussing formulations of storage and
processing of information in human and artificial cognitive systems, via
information-theoretic measures. Specifically, we aim to further integrate
information theory researchers in such discussions, deepening the
mathematical knowledge and tools shared across disciplines. [NZ1] Second,
facilitating research on addressing the challenges of computing information
theoretic quantities, specifically for the needs of cognitive science and
machine learning.

We invite short submissions (up to 4 pages – NeurIPS format) that present
original work related to information theory and cognitive systems, and
particularly encourage submissions of collaborative interdisciplinary work.
Examples of specific topics of interest include but are not limited to:
* Novel information-theoretic approaches to cognitive functions (e.g.,
perception, decision making, language, social reasoning, etc.)
* Method and approaches for the validation of information theoretic
formalisms in human and artificial cognition
* Novel methods and approaches for the computation and/or estimation of
information theoretic quantities and their applications to human and
artificial cognition
* Challenges and limitations of the use of information theory in studying
cognitive systems
* Application of information theory to training human-aligned artificial
agents, i.e., agents that can better communicate and cooperate with humans

All accepted papers will be presented in a poster session during the
workshop, and a number of papers will also be selected for an oral
presentation. We expect to have limited resources to offer financial aid to
selected participants. More details will follow upon acceptance.
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