Search results
Results from the WOW.Com Content Network
Swarm is an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behavior. Swarm was initially developed at the Santa Fe Institute in the mid-1990s, and since 1999 has been maintained by the non-profit Swarm Development Group .
Bee Swarm Simulator is an incremental game developed by Onett where bees follow players around. The bees help collect pollen to convert into honey [12] and attack hostile mobs. [13] The game uses quests, events and other features to hook its players into continuing to play the game.
A group identifier, often abbreviated to GID, is a numeric value used to represent a specific group. [1] The range of values for a GID varies amongst different systems; at the very least, a GID can be between 0 and 32,767, with one restriction: the login group for the superuser must have GID 0.
The scout bees are translated from a few employed bees, which abandon their food sources and search new ones. In the ABC algorithm, the first half of the swarm consists of employed bees, and the second half constitutes the onlooker bees. The number of employed bees or the onlooker bees is equal to the number of solutions in the swarm.
Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
The design of swarm robotics systems is guided by swarm intelligence principles, which promote fault tolerance, scalability, and flexibility. [1] Unlike distributed robotic systems in general, swarm robotics emphasizes a large number of robots. While various formulations of swarm intelligence principles exist, one widely recognized set includes:
Polarity: The group polarity describes if the group animals are all pointing in the same direction or not. In order to determine this parameter, the average orientation of all animals in the group is determined. For each animal, the angular difference between its orientation and the group orientation is then found.
Swarm robotic platforms apply swarm robotics [1] in multi-robot collaboration. [2] They take inspiration from nature (e.g. collective problem solving mechanisms seen in nature such as honey bee aggregation [3] [4]). The main goal is to control a large number of robots (with limited sensing/processing ability) to accomplish a common task/problem.