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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 [12] and attack hostile mobs. [13] The game uses quests, events and other features to hook its players into continuing to play the game.
Buff is the term generically used to describe a positive status effect that affects mainly player or enemy statistics (usually cast as a spell). Debuffs are effects that may negatively impact a player character or a non-player character in some way other than reducing their hit points. Some examples of buffs and debuffs are:
The Nasonov (alternatively, Nasanov) pheromone is released by worker bees to orient returning forager bees back to the colony. To broadcast this scent, bees raise their abdomens, which contain the Nasonov glands, and fan their wings vigorously. Nasonov includes a number of different terpenoids including geraniol, nerolic acid, citral and ...
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).
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 .
Unlike a bumble bee colony or a paper wasp colony, the life of a honey bee colony is perennial. The three types of honey bees in a hive are: queens (egg-producers), workers (non-reproducing females), and drones (males whose main duty is to find and mate with a queen). Unlike the worker bees, drones do not sting.
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Swarmalators [1] are generalizations of phase oscillators [2] that swarm around in space as they synchronize in time. They were introduced to model the diverse real-world systems which both sync and swarm, such as vinegar eels, [3] magnetic domain walls, [4] and Japanese tree frogs. [5]