Improved Behavior Tree + Unity

This week I worked to use the feedback I had received to improve my behavior tree.

Here is the logic behind the new and improved tree:

• Assumption: The enemy is all-knowing (knows where enemies are, where target is, etc)
• 4 basic actions: Walk, Run, Flee, Hide
• Note that these are subtrees (since they are behavior trees themselves
• 2 agent states: Detected, Undetected
• When Detected, Flee or Run until Undetected
• When Undetected, continue to make progress toward goal, unless Detected
• In any given state, the way an agent decides which action to take depends on its risk attitude
• Each agent will have parameter r_loving and r_averse, which sum to 1.0
• These parameters will be passed into stochastic selectors to determine which action to take next
• (I also plan to incorporate enemy distance into the calculation when computing probabilities for stochastic selectors, but I haven't come up with a precise equation yet)

I also played around some in Unity.  I am now able to dynamically create an arbitrary map from a .txt config file in Unity.  The camera view is orthographic, since I am working in 2D.  I can also use the arrow keys to move my agent around for testing.

Things to do next:

• I'd like to add a visual marker on the agent to indicate what direction he's facing
• Have the camera following the target
• A* pathfinding