# Networks in Cognitive Science

arXiv: https://arxiv.org/abs/1304.6736 · HTML: https://mlsanity.com/paper/1304.6736/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Apr 2013.

## Built on by (most cited first, 3 of 3)

- [Knowledge Mechanisms in Large Language Models: A Survey and Perspective](https://mlsanity.com/paper/2407.15017/) (2024)
- [The advent and fall of a vocabulary learning bias from communicative efficiency](https://mlsanity.com/paper/2105.11519/) (2021)
- [Graph Attention Inference of Network Topology in Multi-Agent Systems](https://mlsanity.com/paper/2408.15449/) (2024)

## Abstract (arXiv)

Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural net- works to spreading activation models of semantic mem- ory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions, and collaborations among scientists. Today, the inclusion of network theory into Cognitive Sciences, and the expansion of complex- systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the Cognitive Sciences.