Building a Cognitive Twin Using a Distributed Cognitive System and an Evolution Strategy
Journal:
arXiv
Published Date:
Feb 3, 2025
Abstract
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.
