@inproceedings{
leshkowitz2023an,
title={An Information-Theoretic Approach to Cognitive Dimension Reduction},
author={Maya Leshkowitz},
booktitle={NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems},
year={2023},
url={https://openreview.net/forum?id=vC2lHVahks}
}
We introduce Cognitive Dimension Reduction (CDR), a model that sheds light on how individuals simplify the multidimensional world to guide decision-making and comprehension. Our proposal posits that cognitive limitations prompt the adoption of simplified models, reducing the environment to a subset of dimensions. Within these limitations, we propose that individuals exploit both environment structure and goal relevance. Employing Information Theory, we formalize these principles and develop a model that explains how environmental and cognitive factors influence dimension reduction. Furthermore, we present an experimental method for CDR assessment and initial findings that support it.
An Information-Theoretic Approach to Cognitive Dimension Reduction
Maya Leshkowitz