We introduce scenery, a flexible VR/AR visualization framework for the Java VM that can handle mesh and large volumetric data. scenery supports multiple views, timepoints, and color channels, and is designed to facilitate quick prototyping and full application development. It is free, open-source, cross-platform, and uses Vulkan or OpenGL rendering APIs.
Apr 24, 2020
This paper introduces a model of evolving genetically-regulated swarms within an eco-evolutionary system, highlighting the benefits of competitive selection pressure for collision avoidance, which leads to improved navigation abilities and overall agent behavior.
Sep 4, 2017
We use gene regulatory networks (GRNs) to modulate the parameters of the SARSA reinforcement learning algorithm, demonstrating that GRNs can be optimized to enhance learning and generalize across multiple tasks without specific problem knowledge.
Jul 11, 2015
This study explores the role of active perception in generating bistability during angiogenesis. By examining endothelial cells (ECs) in a simulated environment, the study demonstrates that sensorimotor feedback can lead to bistability and influence collective decision timing.
Jul 30, 2014
This paper explores the impact of proportional-integral control on the fitness and genetics of evolving swarms, revealing that while energy accumulation increases, so does the rate of expiration. The study highlights the importance of information quality over control force in swarm dynamics.
May 31, 2014
This study explores the impact of climate-change-related environmental variation on evolving swarms of birds, highlighting how desertification and tropicalification affect swarm dynamics, population stability, and genetic traits.
May 30, 2014
This paper models the coevolution of prey appearance and predator vision, demonstrating that predator-prey coevolution can maintain engagement and that background complexity supports this interaction.
May 28, 2014
This study uses neuromodulatory gene regulatory networks to improve reinforcement learning agents in solving the robot coverage control problem, demonstrating better generalization and learning capabilities compared to fixed parameter settings.
Aug 4, 2013
This paper investigates the somatic marker hypothesis in predator-prey simulations, exploring how communicated somatic markers like fear, happiness, and surprise can increase survival rates and be favored by natural selection.
Oct 1, 2012
This paper presents a technique for incorporating tag-based modularity into tree-based genetic programming systems, demonstrating its benefits on the lawnmower problem but noting challenges on the Boolean even-4-parity problem.
Jul 7, 2012