Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Conference Paper

The role of co-representations in joint tracking


Hofmann,  Simon       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Sangati, E., & Hofmann, S. (2020). The role of co-representations in joint tracking. In Artificial Life Conference Proceedings (pp. 526-534). doi:10.1162/isal_a_00259.

Cite as: https://hdl.handle.net/21.11116/0000-000B-06DB-8
In this paper we present a Minimal Cognitive Agent model of a joint action task. Pairs of agents realized as Continuous Time Recurrent Neural Networks are submitted to artificial evolution in the context of a task taken from psychological literature. In this task the agents are required to coordinate their complementary actions in order to jointly control the movement of a tracker and successfully follow a continuously moving target. It has been suggested that such a task requires a more complex type of cognitive mechanism than the types of processes postulated by the proponents of Embodied Embedded Cognition approach. Specifically, it might possibly require that the agents “co-represent” each other's contributions to the common behavior. Our results show that simple agents with no such built-in co-representation mechanism are able to evolve a solution to the task. However, we also find emergent neural activity patterns that are consistent with it. In what sense
these patterns can be said to be truly representational requires further study.