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Bee Swarm Simulator is an incremental game developed by Onett where bees follow players around. The bees help collect pollen to convert into honey [18] and attack hostile mobs. [19] The game uses quests, events and other features to hook its players into continuing to play the game.
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.
Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.
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.
T. Tank (video game) Tax Dodge (video game) Theseus and the Minotaur; Theseus and the Minotaur (video game) Thief (arcade game) Thunder Castle; Time Bandit
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 .
Fritz von Meyer is a composite being of thousand bees driven by his human intelligence. He is also technically intangible, as his body is an aggregate of tiny forms. As Swarm, he can fly through the air, assume any shape or size at will, and mentally influence other bees' actions (the full range may extend over a hundred yards in radius).
Maze generation animation using a tessellation algorithm. This is a simple and fast way to generate a maze. [3] On each iteration, this algorithm creates a maze twice the size by copying itself 3 times. At the end of each iteration, 3 paths are opened between the 4 smaller mazes. The advantage of this method is that it is very fast.