# Building a Cognitive Twin Using a Distributed Cognitive System and an Evolution Strategy

arXiv: https://arxiv.org/abs/2502.01834 · HTML: https://mlsanity.com/paper/2502.01834/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 60 references that are in the map.
- First posted on arXiv 3 Feb 2025.

## Abstract (arXiv)

This work presents a technique to build interaction-based Cognitive Twins (a computational version of an external agent) using input-output training and an Evolution Strategy on top of a framework for distributed Cognitive Architectures. Here, we show that it's possible to orchestrate many simple physical and virtual devices to achieve good approximations of a person's interaction behavior by training the system in an end-to-end fashion and present performance metrics. The generated Cognitive Twin may later be used to automate tasks, generate more realistic human-like artificial agents or further investigate its behaviors.