AI Medical Compendium Journal:
Artificial life

Showing 1 to 10 of 72 articles

Evolutionary Robotics Controllers with Proprioception Facilitated by Neural-Network-Based Simulators.

Artificial life
Taking inspiration from the navigation ability of humans, this study investigated a method of providing robotic controllers with a basic sense of position. It incorporated robotic simulators into robotic controllers to provide them with a mechanism t...

Reality-Assisted Evolution of Soft Robots through Large-Scale Physical Experimentation: A Review.

Artificial life
We introduce the framework of reality-assisted evolution to summarize a growing trend towards combining model-based and model-free approaches to improve the design of physically embodied soft robots. , data-driven models build, adapt, and improve rep...

Long-Term Progress and Behavior Complexification in Competitive Coevolution.

Artificial life
The possibility of using competitive evolutionary algorithms to generate long-term progress is normally prevented by the convergence on limit cycle dynamics in which the evolving agents keep progressing against their current competitors by periodical...

Decentralized Control for Swarm Robots That Can Effectively Execute Spatially Distributed Tasks.

Artificial life
A swarm robotic system is a system in which multiple robots cooperate to fulfill a macroscopic function. Many swarm robots have been developed for various purposes. This study aims to design swarm robots capable of executing spatially distributed tas...

Autonomously Moving Pine-Cone Robots: Using Pine Cones as Natural Hygromorphic Actuators and as Components of Mechanisms.

Artificial life
We have developed autonomously moving pine-cone robots, which are made of multiple joined pine-cone scales for outdoor natural environments. We achieved these natural robots by using pine cones as both natural hygromorphic actuators and components of...

Reinforcement Learning for Improving Agent Design.

Artificial life
In many reinforcement learning tasks, the goal is to learn a policy to manipulate an agent, whose design is fixed, to maximize some notion of cumulative reward. The design of the agent's physical structure is rarely optimized for the task at hand. In...

Circular Causation, Circular Cognition: A Tour Around Some Common Confusions.

Artificial life
Life and cognition are inherently circular dynamical processes, and people have difficulty understanding circular causation. I give case studies illustrating some resulting confusions, and propose that the problems may lie in failing to properly dist...

Can Signal Delay be Functional? Including Delay in Evolved Robot Controllers.

Artificial life
Engineers, control theorists, and neuroscientists often view the delay imposed by finite signal propagation velocities as a problem that needs to be compensated for or avoided. In this article, we consider the alternative possibility that in some cas...

RAIN: A Bio-Inspired Communication and Data Storage Infrastructure.

Artificial life
We summarize the results and perspectives from a companion article, where we presented and evaluated an alternative architecture for data storage in distributed networks. We name the bio-inspired architecture RAIN, and it offers file storage service ...