Pheromander is a real-time strategy game about swarms. You are in control of a colony of ant-like agents. Your duty is to expand and protect your colony by collecting resources and defeating enemies. Similar to real ants, you cannot instruct your agents directly. Instead, you have to create pheromone trails to guide them towards resources and to coordinate battles.
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Unlike other RTS games, Pheromander does not allow to select units and order them to a destination by clicking. Instad, you have to emit pheromones on the map. Agents perceive those and follow the trail according to their respective task: Collect resources or fight enemies.
In simulation mode you can create custom maps by adding/removing resources and enemies to/from the map. This allows you to test and evaluate different scenarios and focus on certain aspects of controlling agents via pheromones.
In challenge mode you have only a fixed period of time to gather as many resources as possible. For each resource brought back to your base by your agents, points are awarded to you. Master the way of pheromone-based swarm controls and achieve your personal highscore!
An important part of pheromone-based controls is to understand the various properties influencing the system. Pheromander allows you to change and adjust diffusion and evaporation of pheromones, agent's area of perception and many more attributes on the fly. This way you can experiment and evaluate the effects of these parameters on the emergent behavior of the system.
Pheromone based systems are a complex topic. To help you getting started, check out the tutorial that introduces Pheromander's most important features!
There are 32bit and 64bit binaries available for Windows and Mac.
Please choose the appropriate download link below.
Windows (32bit|64bit)
Mac (universal)
We published a paper about Pheromander at VS-Games 2016,
the International Conference on Virtual Worlds and Games for Serious Applications.
Pheromander has been developed by
Simon Kerler (Website | GitHub)
Johannes Vilsmeier
Supervisors
Sarah Edenhofer (Website)
Sebastian von Mammen (Website)