@inproceedings{fe06d8a8b1de4e2faf1f881a05ead78a,
title = "Information-theoretic cost of decision-making in joint action",
abstract = "We investigate the information processing cost relative to utility, associated with joint action in dyadic decision-making. Our approach, built on the Relevant Information formalism, combines Shannon's Information Theory and Markov Decision Processes for modelling dyadic interaction, where two agents with independent controllers move an object together with fully redundant control in a grid world. Results show that increasing collaboration relaxes the pressure on required information intake and vice versa, antagonistic behavior takes a higher toll on information bandwidth. In this trade-off the particular embodiment of the environment plays a key role, demonstrated in simulations with informationally parsimonious optimal controllers.",
keywords = "Collective behavior, Complex systems, Information dynamics, Information theory",
author = "Dari Trendafilov and Daniel Polani and Alois Ferscha",
note = "Publisher Copyright: {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved; 13th International Conference on Agents and Artificial Intelligence, ICAART 2021 ; Conference date: 04-02-2021 Through 06-02-2021",
year = "2021",
language = "English",
series = "ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence",
publisher = "SciTePress",
pages = "304--311",
editor = "Rocha, {Ana Paula} and Luc Steels and {van den Herik}, Jaap",
booktitle = "ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence",
}