| abstract |
Apparatus and methods for implementing robotic learning and evolution. An ecosystem of robots may comprise robotic devices of one or more types utilizing artificial neuron networks for implementing learning of new traits. A number of robots of one or more species may be contained in an enclosed environment. The robots may interact with objects within the environment and with one another, while being observed by the human audience. In one or more implementations, the robots may be configured to ‘reproduce’ via duplication, copy, merge, and/or modification of robotic. The replication process may employ mutations. Probability of reproduction of the individual robots may be determined based on the robot's success in whatever function trait or behavior is desired. User-driven evolution of robotic species may enable development of a wide variety of new and/or improved functionality and provide entertainment and educational value for users. |