更新:

再次感谢你的例子,它们对我很有帮助,我并不是说 夺走他们的一切。

Aren't the currently given examples, as far as I understand them & state-machines, only half of what we usually understand by a state-machine? In the sense that the examples do change state but that's only represented by changing the value of a variable (and allowing different value- changes in different states), while usually, a state machine should also change its behavior, and behavior not (only) in the sense of allowing different value changes for a variable depending on the state, but in the sense of allowing different methods to be executed for different states.

还是我对状态机及其常用用法有误解?


最初的问题:

我发现了关于c#中的状态机和迭代器块的讨论,以及用于创建状态机和c#的工具,所以我发现了很多抽象的东西,但作为一个新手,所有这些都有点令人困惑。

因此,如果有人能提供一个c#源代码-示例,实现一个简单的状态机,可能只有3,4个状态,那就太好了,只是为了了解它的要点。


当前回答

让我们从这个简单的状态图开始:

我们有:

4种状态(非活动、活动、暂停和退出) 5种状态转换(开始命令,结束命令,暂停命令,恢复命令,退出命令)。

您可以通过几种方式将其转换为c#,例如在当前状态和命令上执行switch语句,或者在转换表中查找转换。对于这个简单的状态机,我更喜欢一个转换表,它很容易使用Dictionary表示:

using System;
using System.Collections.Generic;

namespace Juliet
{
    public enum ProcessState
    {
        Inactive,
        Active,
        Paused,
        Terminated
    }

    public enum Command
    {
        Begin,
        End,
        Pause,
        Resume,
        Exit
    }

    public class Process
    {
        class StateTransition
        {
            readonly ProcessState CurrentState;
            readonly Command Command;

            public StateTransition(ProcessState currentState, Command command)
            {
                CurrentState = currentState;
                Command = command;
            }

            public override int GetHashCode()
            {
                return 17 + 31 * CurrentState.GetHashCode() + 31 * Command.GetHashCode();
            }

            public override bool Equals(object obj)
            {
                StateTransition other = obj as StateTransition;
                return other != null && this.CurrentState == other.CurrentState && this.Command == other.Command;
            }
        }

        Dictionary<StateTransition, ProcessState> transitions;
        public ProcessState CurrentState { get; private set; }

        public Process()
        {
            CurrentState = ProcessState.Inactive;
            transitions = new Dictionary<StateTransition, ProcessState>
            {
                { new StateTransition(ProcessState.Inactive, Command.Exit), ProcessState.Terminated },
                { new StateTransition(ProcessState.Inactive, Command.Begin), ProcessState.Active },
                { new StateTransition(ProcessState.Active, Command.End), ProcessState.Inactive },
                { new StateTransition(ProcessState.Active, Command.Pause), ProcessState.Paused },
                { new StateTransition(ProcessState.Paused, Command.End), ProcessState.Inactive },
                { new StateTransition(ProcessState.Paused, Command.Resume), ProcessState.Active }
            };
        }

        public ProcessState GetNext(Command command)
        {
            StateTransition transition = new StateTransition(CurrentState, command);
            ProcessState nextState;
            if (!transitions.TryGetValue(transition, out nextState))
                throw new Exception("Invalid transition: " + CurrentState + " -> " + command);
            return nextState;
        }

        public ProcessState MoveNext(Command command)
        {
            CurrentState = GetNext(command);
            return CurrentState;
        }
    }


    public class Program
    {
        static void Main(string[] args)
        {
            Process p = new Process();
            Console.WriteLine("Current State = " + p.CurrentState);
            Console.WriteLine("Command.Begin: Current State = " + p.MoveNext(Command.Begin));
            Console.WriteLine("Command.Pause: Current State = " + p.MoveNext(Command.Pause));
            Console.WriteLine("Command.End: Current State = " + p.MoveNext(Command.End));
            Console.WriteLine("Command.Exit: Current State = " + p.MoveNext(Command.Exit));
            Console.ReadLine();
        }
    }
}

根据个人喜好,我喜欢用GetNext函数来确定地返回下一个状态,用MoveNext函数来改变状态机。

其他回答

我推荐state.cs。我个人使用state.js (JavaScript版本),并且非常满意。c#版本以类似的方式工作。

你实例化状态:

        // create the state machine
        var player = new StateMachine<State>( "player" );

        // create some states
        var initial = player.CreatePseudoState( "initial", PseudoStateKind.Initial );
        var operational = player.CreateCompositeState( "operational" );
        ...

你实例化了一些转换:

        var t0 = player.CreateTransition( initial, operational );
        player.CreateTransition( history, stopped );
        player.CreateTransition<String>( stopped, running, ( state, command ) => command.Equals( "play" ) );
        player.CreateTransition<String>( active, stopped, ( state, command ) => command.Equals( "stop" ) );

在状态和转场上定义动作:

    t0.Effect += DisengageHead;
    t0.Effect += StopMotor;

差不多就是这样了。更多信息请查看网站。

在网上找到了这个很棒的教程,它帮助我理解了有限状态机。

http://gamedevelopment.tutsplus.com/tutorials/finite-state-machines-theory-and-implementation--gamedev-11867

本教程是语言无关的,所以它可以很容易地适应您的c#需求。

而且,所使用的例子(一只蚂蚁寻找食物)很容易理解。

来自教程:

public class FSM {
    private var activeState :Function; // points to the currently active state function

    public function FSM() {
    }

    public function setState(state :Function) :void {
        activeState = state;
    }

    public function update() :void {
        if (activeState != null) {
            activeState();
        }
    }
}


public class Ant
{
    public var position   :Vector3D;
    public var velocity   :Vector3D;
    public var brain      :FSM;

    public function Ant(posX :Number, posY :Number) {
        position    = new Vector3D(posX, posY);
        velocity    = new Vector3D( -1, -1);
        brain       = new FSM();

        // Tell the brain to start looking for the leaf.
        brain.setState(findLeaf);
    }

    /**
    * The "findLeaf" state.
    * It makes the ant move towards the leaf.
    */
    public function findLeaf() :void {
        // Move the ant towards the leaf.
        velocity = new Vector3D(Game.instance.leaf.x - position.x, Game.instance.leaf.y - position.y);

        if (distance(Game.instance.leaf, this) <= 10) {
            // The ant is extremelly close to the leaf, it's time
            // to go home.
            brain.setState(goHome);
        }

        if (distance(Game.mouse, this) <= MOUSE_THREAT_RADIUS) {
            // Mouse cursor is threatening us. Let's run away!
            // It will make the brain start calling runAway() from
            // now on.
            brain.setState(runAway);
        }
    }

    /**
    * The "goHome" state.
    * It makes the ant move towards its home.
    */
    public function goHome() :void {
        // Move the ant towards home
        velocity = new Vector3D(Game.instance.home.x - position.x, Game.instance.home.y - position.y);

        if (distance(Game.instance.home, this) <= 10) {
            // The ant is home, let's find the leaf again.
            brain.setState(findLeaf);
        }
    }

    /**
    * The "runAway" state.
    * It makes the ant run away from the mouse cursor.
    */
    public function runAway() :void {
        // Move the ant away from the mouse cursor
        velocity = new Vector3D(position.x - Game.mouse.x, position.y - Game.mouse.y);

        // Is the mouse cursor still close?
        if (distance(Game.mouse, this) > MOUSE_THREAT_RADIUS) {
            // No, the mouse cursor has gone away. Let's go back looking for the leaf.
            brain.setState(findLeaf);
        }
    }

    public function update():void {
        // Update the FSM controlling the "brain". It will invoke the currently
        // active state function: findLeaf(), goHome() or runAway().
        brain.update();

        // Apply the velocity vector to the position, making the ant move.
        moveBasedOnVelocity();
    }

    (...)
}

这里有些无耻的自我宣传,但在不久前,我创建了一个名为YieldMachine的库,它允许以非常干净和简单的方式描述一个有限复杂性的状态机。例如,考虑一盏灯:

注意,这个状态机有2个触发器和3个状态。在YieldMachine代码中,我们为所有与状态相关的行为编写了一个方法,在这个方法中,我们对每个状态都使用goto,这是一种可怕的暴行。触发器变成Action类型的属性或字段,用一个称为trigger的属性进行修饰。我在下面注释了第一个状态及其转换的代码;接下来的状态遵循相同的模式。

public class Lamp : StateMachine
{
    // Triggers (or events, or actions, whatever) that our
    // state machine understands.
    [Trigger]
    public readonly Action PressSwitch;

    [Trigger]
    public readonly Action GotError;

    // Actual state machine logic
    protected override IEnumerable WalkStates()
    {
    off:                                       
        Console.WriteLine("off.");
        yield return null;

        if (Trigger == PressSwitch) goto on;
        InvalidTrigger();

    on:
        Console.WriteLine("*shiiine!*");
        yield return null;

        if (Trigger == GotError) goto error;
        if (Trigger == PressSwitch) goto off;
        InvalidTrigger();

    error:
        Console.WriteLine("-err-");
        yield return null;

        if (Trigger == PressSwitch) goto off;
        InvalidTrigger();
    }
}

又短又好,嗯!

这个状态机通过发送触发器来控制:

var sm = new Lamp();
sm.PressSwitch(); //go on
sm.PressSwitch(); //go off

sm.PressSwitch(); //go on
sm.GotError();    //get error
sm.PressSwitch(); //go off

为了澄清,我在第一个状态中添加了一些注释,以帮助您理解如何使用它。

    protected override IEnumerable WalkStates()
    {
    off:                                       // Each goto label is a state

        Console.WriteLine("off.");             // State entry actions

        yield return null;                     // This means "Wait until a 
                                               // trigger is called"

                                               // Ah, we got triggered! 
                                               //   perform state exit actions 
                                               //   (none, in this case)

        if (Trigger == PressSwitch) goto on;   // Transitions go here: 
                                               // depending on the trigger 
                                               // that was called, go to
                                               // the right state

        InvalidTrigger();                      // Throw exception on 
                                               // invalid trigger

        ...

这是因为c#编译器实际上在内部为每个使用yield return的方法创建了一个状态机。这个构造通常用于惰性地创建数据序列,但在这种情况下,我们实际上对返回的序列并不感兴趣(反正都是null),而是对在底层创建的状态行为感兴趣。

StateMachine基类对构造进行一些反射,将代码分配给每个[Trigger]操作,该操作设置Trigger成员并向前移动状态机。

但是你不需要真正理解它的内部原理就能使用它。

下面是一个非常经典的有限状态机的例子,它模拟了一个非常简化的电子设备(比如电视)

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace fsm
{
class Program
{
    static void Main(string[] args)
    {
        var fsm = new FiniteStateMachine();
        Console.WriteLine(fsm.State);
        fsm.ProcessEvent(FiniteStateMachine.Events.PlugIn);
        Console.WriteLine(fsm.State);
        fsm.ProcessEvent(FiniteStateMachine.Events.TurnOn);
        Console.WriteLine(fsm.State);
        fsm.ProcessEvent(FiniteStateMachine.Events.TurnOff);
        Console.WriteLine(fsm.State);
        fsm.ProcessEvent(FiniteStateMachine.Events.TurnOn);
        Console.WriteLine(fsm.State);
        fsm.ProcessEvent(FiniteStateMachine.Events.RemovePower);
        Console.WriteLine(fsm.State);
        Console.ReadKey();
    }

    class FiniteStateMachine
    {
        public enum States { Start, Standby, On };
        public States State { get; set; }

        public enum Events { PlugIn, TurnOn, TurnOff, RemovePower };

        private Action[,] fsm;

        public FiniteStateMachine()
        {
            this.fsm = new Action[3, 4] { 
                //PlugIn,       TurnOn,                 TurnOff,            RemovePower
                {this.PowerOn,  null,                   null,               null},              //start
                {null,          this.StandbyWhenOff,    null,               this.PowerOff},     //standby
                {null,          null,                   this.StandbyWhenOn, this.PowerOff} };   //on
        }
        public void ProcessEvent(Events theEvent)
        {
            this.fsm[(int)this.State, (int)theEvent].Invoke();
        }

        private void PowerOn() { this.State = States.Standby; }
        private void PowerOff() { this.State = States.Start; }
        private void StandbyWhenOn() { this.State = States.Standby; }
        private void StandbyWhenOff() { this.State = States.On; }
    }
}
}

记住状态机是一种抽象是很有用的,创建状态机不需要特定的工具,但是工具是有用的。

例如,你可以用函数实现一个状态机:

void Hunt(IList<Gull> gulls)
{
    if (gulls.Empty())
       return;

    var target = gulls.First();
    TargetAcquired(target, gulls);
}

void TargetAcquired(Gull target, IList<Gull> gulls)
{
    var balloon = new WaterBalloon(weightKg: 20);

    this.Cannon.Fire(balloon);

    if (balloon.Hit)
    {
       TargetHit(target, gulls);
    }
    else
       TargetMissed(target, gulls);
}

void TargetHit(Gull target, IList<Gull> gulls)
{
    Console.WriteLine("Suck on it {0}!", target.Name);
    Hunt(gulls);
}

void TargetMissed(Gull target, IList<Gull> gulls)
{
    Console.WriteLine("I'll get ya!");
    TargetAcquired(target, gulls);
}

这台机器会捕捉海鸥,并试图用水球击中它们。如果它没有命中,它将尝试发射一个直到命中为止(可以有一些现实的期望;)),否则它将在控制台幸灾乐祸。它继续捕猎,直到没有海鸥可以骚扰为止。

每个函数对应于每个状态;没有显示开始和结束(或接受)状态。其中的状态可能比函数所模拟的要多。例如,在发射气球后,机器实际上处于与之前不同的状态,但我认为这种区分是不切实际的。

常用的方法是使用类来表示状态,然后以不同的方式将它们连接起来。