Game Creation with XNA/AI/AI Engines

General Information
Today it is a common approach to create solutions which are an overall package for specified topic. These solutions are often called engines. Every day there mushroom new ones. For example for 3D graphics, sound, network and even for artificial intelligence which is especially for games. These AI-Engines for games solve several problems, which often appear in the procedure of creating games, like pathfinding, decision making, learning, movement, tactical and steering behavior, etc. So there are even several AI-Engines and libraries which provide some of those algorithms. These give you the ability to make your games more intelligent and challenging.

SharpSteer
SharpSteer by Bjoern Graf and Michael Coles is a C# portation of OpenSteer(C++) which is an open source library to help construct steering behaviors for autonomous characters in games and animation and it is distributed in accordance with the MIT License. Its last release was in March 2008 and it is designed for XNA 2.0, but it also works at 3.1. There is a demand to port it on XNA 4.0, but the conversion has not happened yet. As the name implies SharpSteer's responsibility relies on steering behaviors like cohesion, separation, alignment and many more. Its actual version includes a demonstration of 200 simulated flocking bird like objects which are also called boids. In SharpSteer boids can be everything (a football player, an enemy soldier, a car) in a game. It must at least have the SharpSteer's interface IVehicle. The most important class is the SteerLibrary.cs. It is the heart of SharpSteer which consists the main algorithms for the steering behavior:
 * The alignment behavior: Move in the average direction of other nearby vehicles IVehicle.jpg


 * The cohesion behavior: Move the average position of nearby vehicles.

These 3 functions get 3 equal parameters: The float value maxDistance defines the proximity area in which other vehicles affect this vehicle. The float value cosMaxangle defines angular borders in which other vehicles do not affect this vehicle. Obviously the list of IVehicle contains all the vehicles that may have the ability to influence this vehicle. But that is not the end of the story. There are also:
 * The separation behavior: Move away from other nearby vehicles to avoid crowding

The value menace is the vehicle that should be avoided. The value maxPredictionTime is the point of time to forecast the menace's future position.
 * The evasion behavior: Move away from a specific vehicle.

Furthermore ther dozens of other behaviors:

Simple AI
Simple AI is an engine for XNA written by Piotr Witkowski and features gridded maps, a pathfinding algorithm, pathfollowing and behaviours such as find path, follow path, goto, stay in formation. Contrary to SharpSteer which specialises in steering behavior like cohesion, alignment and separation this engine focuses on various graphs and pathfinding with A*. Thus the behaviors are linked to the graphs which are represented as a grid and they rely on pathfinding algorithms.

XNA Pathfinding Library
This library is a lightweight. It just offers A*, Depth and Breadth search. It works with XNA 3.1 and 4.0. Based on its small size it is highly adaptable.

Other AI Engines
http://www.c-sharpcorner.com/UploadFile/rmcochran/AI_OOP_NeuralNet06192006090112AM/AI_OOP_NeuralNet.aspx

Your Own AI Engine
If you want to write your own engine, you have to think about its structural design. You should consider the purpose which invokes if it is a more general solution or special one for a specific kind of game. Furthermore there must be a general mechanism for the decisions which behavior is the actual one equal which AI algorithm is used. So every algorithm has to subordinate this mechanism. Nonetheless your AI-Engine's mechanism includes an interface for your algorithms interacting with your game world, because without senses(input)ther is no appropriate reaction(output). Of course there should be a connection between the behavior and the animation of your intelligent acting game objects. In addition your engine's architecture makes it applicable to extend the engine itself and their algorithms by anybody who wants to write his own behavior or who wants to install a new AI-technology. As always you should esteem re-usability, adaptability and maintainability. So the complete AI engine will have a central pool of predefined AI algorithms that can be applied to any kind of game objects for any kind of game, whether it is a shooter or text-based adventure, if the AI-Engine is a general solution.

"Temporary Guidelines"
Should talk about available engines (maybe not only XNA) for dealing with AI.

For instance the Nelxon Website lists the following engines for artificial intelligence: Some interesting code examples can be found here: http://create.msdn.com/en-US/education/catalog/?devarea=11
 * Engine Nine – has a Path Finding and steering behaviors included
 * SharpSteer – I found a million and 1 uses for this…
 * State machine-based behavior models - Good Article, sample old..
 * Steering Behaviors, Obstacle Avoidance – good Example (in spanish)

Authors
nexuschild gets into it