pyGOAP - .4
basic implimentation of goap planning.
goap is: Goal Oriented Action Planning
goap tries to make virtual character come alive through planning. behaviors are programmed, but they don't have to be explicitly linked. action planning is done at run time using the a*star pathfinding algorithm.
The main concept of GOAP is that AI is not a static table or set of states. Rather, GOAP uses a A* like search to find solutions to goals at runtime. This frees the designer of setting up complex behavior trees.
There is a test called pirate.py. It more-or-less test/demos the GOAP library. You should be able to run the pirate demo and watch how he satisfies his goal: getting drunk.
Check out the source comments and also the tutorial.
Updates and a working demo!
New changes introduces a more sane action system that is flexible. New memory system. Tutorial added. Check it out!
Github page has a wiki that explains the tutorial.
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