@inproceedings{d5fdeae604da46a1a96a20ddd6829746,
title = "Rainforest: an interactive ecosystem",
abstract = "This paper describes a self-regulating artificial ecosystem in continuous exposure to human observers. Particles of variable morphology engage in local interaction and give rise to emergent overall audiovisual complexity. People only exercise influence over autonomous behavior developing in the artificial world. A machine-learning algorithm basically aims to maximize audiovisual diversity by tracking changes in systems behavior in relation to behavior in the artificial world. We suggest rewarding human-machine interaction to exist in the elaboration of dynamic relationships between spatial and cognitive human behavior and audiovisual performance in an artificial universe.",
keywords = "Aesthetic human-machine interaction, Autonomy, Emergence, Influence, Machine learning, Particle systems",
author = "Peter Beyls and Andr{\'e} Perrotta",
year = "2016",
month = may,
day = "7",
doi = "10.1145/2851581.2891090",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
pages = "3816--3819",
booktitle = "CHI EA 2016",
address = "United States",
note = "34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 ; Conference date: 07-05-2016 Through 12-05-2016",
}