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...After moving, the giant shoots an arrow from its landing square to another square, using another rook-like move. This arrow may travel in any orthogonal direction (even backwards along the same path the giant just traveled, into or across the starting square if desired). An arrow, like a giant, cannot cross or enter a square where another arrow has landed or a giant stands. The square where the arrow lands is marked to show that it can no longer be used. The last player to be able to make a move wins. How to play: 1. Select players from the panel 2. ...

It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.

...We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).