<p>I believe that the answer given by @denesp is incorrect. The second method involves simply writing the game in strategic of "normal" form. I believe
the first method is better (easier to use), but I think that they can both be used.
In the answer given by @desesp, the following explanation is given.</p>

<blockquote>
  <p>The reason why method two is flawed is that the probabilities $a$, $b$
  and $c$ are not  independent as $$ a = p \cdot q, \hskip 20pt b = p
 \cdot (1 - q), \hskip 20pt c = (1 - p) \cdot q, \hskip 20pt  1 - a - b
 - c = (1 - p) \cdot (1 - q). $$</p>
</blockquote>

<p>Here, it appears that mixing is occurring over L in game 1 (with probability $p$) and L in game 2 (with probability $q$). This interpretation does make sense. I believe that @denesp is confusing conditional and unconditional probabilities. To better understand this, I'm going to start with a discussion of actions versus strategies. Then I'll discuss how the set of strategies considered in methods 1 is included in method 2. I'll note that method 2 contains a larger strategy set, which may or may not be useful. I'll conclude with an example of how both methods can produce the same answers.</p>

<h1>Difference between actions and strategies</h1>

<p>In the explanation given above, it may appear that mixing is occurring over actions. This is not a
correct interpretation. It is technically incorrect because the player is not mixing over actions but mixing over strategies. This is because a player chooses strategies, not actions. A strategy is a plan
that denotes that actions that a player takes in any and every contingency.
We can think of it as mapping information sets to actions. This is important because we would like player 1's actions to depend on the state of nature---we want them to depend on which game he/she is playing.</p>

<p>For reference, we can find definitions of actions and strategies in the first chapter of Rasmusen's book, <em>Games and Information</em> (4th edition). The relevant text is given here:</p>

<p><a href="https://i.sstatic.net/BjbHd.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/BjbHd.png" alt="enter image description here"></a>
<a href="https://i.sstatic.net/vBtKy.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/vBtKy.png" alt="enter image description here"></a>
<a href="https://i.sstatic.net/ASAZ8.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/ASAZ8.png" alt="enter image description here"></a></p>

<h1>What are the sets of strategies considered in each method?</h1>

<p>In the case of the game that you have given, the <em>pure</em> strategies available can be written succinctly (LL, LR, RL, RR), as you have already done in method 2.
Therefore, the method that you described in method two mixes over the pure strategies, with probabilities: $a$, $b$, $c$, and $1 -a-b-c$.</p>

<p>What strategies, then, are we mixing over in method 1? Suppose that $p$
is the probability of choosing L is game 1 and $q$ is the probability of choosing L in game 2. Then in method 1, we can see that we are choosing 
<em>the conditional probability</em> of taking each action in each contingency.
Suppose that game 1 is denoted $G_1$ and that game 2 is denoted $G_2$.
When we specify $p$ and $q$, we are really specifying
$$
p=P(L|G_1)\\ q=P(L|G_2). 
$$
Now, in order to show that these two methods are equivalent, we need to show that the sets of strategies represented by each of these sets is the same.</p>

<h1>Method 2 contains the same strategies as method 1, plus more.</h1>

<p>First, note that the pure strategies LL, LR, RL, and RR can be represented in method 1 by setting $p$ and $q$ to zero or 1.</p>

<p>Suppose that we are using method 2 and that we choose a particular $a$,$b$, and $c$, as defined above. This can be represented in method 1
with
\begin{align*}
p &amp;= a + b \\
q &amp;= a + c.
\end{align*}</p>

<p>However, suppose we choose a particular $p$ and $q$ in method 1. It can be represented in method 2, but not uniquely.
Suppose $p=1/2$ and $q=1/2$. Then two possibilities are $(a,b,c) = (1/2,0,0)$
or another is $(a,b,c)=(0,1/2,1/2)$. </p>

<h1>Why does method 2 contain more strategies?</h1>

<p>Method 2 contains more strategies because it allows more flexibility
to specify off-equilibrium behavior. This can end up capturing non-credible
threats. Depending on which equilibrium concept you're using, you may or may not want to include these. If you're only interested in Bayesian Nash equilibria, then you want to include these. If you're interested in sub-game perfect Nash equilibria or Bayesian sequential equilibria, then you don't want them.</p>

<h1>Here is an example of how method 1 can miss some equilibria</h1>

<p>The following game is again take from Rasmusen's book. Suppose that in this game
Smith moves first. </p>

<p><a href="https://i.sstatic.net/6usNs.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/6usNs.png" alt="enter image description here"></a></p>

<p>Then, Jones must choose among 4 strategies. In each of these strategies, he specifies his actions in each contingency. The 4 strategies are listed here and the game is represented in strategic or "normal" form.</p>

<p><a href="https://i.sstatic.net/Ziqd3.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Ziqd3.png" alt="enter image description here"></a></p>

<p>There are three equilibria, denoted $E_1$, $E_2$, and $E_3$.
If we were simply interested in the Nash equilibria of this game,
we would include all of these equilbria. However, if we are interested
in only the subgame perfect equilibria, we would only want $E_2$.
That is because $E_1$ and $E_3$ involve non-credible threats.</p>

<p>I believe that if we were to try to solve this game using method 1, we would not be able
to identify all three of these equilibria.</p>

<h1>Strategic, "Normal" form</h1>

<p>In the question you've given, method 2 is essentially transforming this
into a static game in which we consider all the strategies. This means that we are considering the "normal" form of the game. This method is easy and appropriate if you're interested in finding the pure strategy equilibria. It can probably also used to find the mixed strategy BNE, but is perhaps more complicated then what is described in methods 2.
For reference, 
here are some notes on the topic. 
These notes give instructions on how to solve for the pure strategy Nash equilibria using the transformation that you've given. It also demonstrates how to solve the mixed strategy equilibria using method 1. (See <a href="http://www.sas.upenn.edu/~ordonez/pdfs/ECON%20201/NoteBAYES.pdf" rel="nofollow noreferrer">http://www.sas.upenn.edu/~ordonez/pdfs/ECON%20201/NoteBAYES.pdf</a> .)</p>

<h1>Further reference</h1>

<p>You can also use this online tool to test how the methods can give you the same answers. This is a <a href="http://banach.lse.ac.uk/" rel="nofollow noreferrer">tool to solve for the Nash equilibria</a> of n by n games. I would recommend using this tool on the examples given in the previous section. 
I found this tool <a href="https://math.stackexchange.com/questions/881906/computer-software-for-solving-mixed-strategy-nash-equilibrium">referenced in this other question</a>.</p>

CC BY-SA 3.0
2015-05-29T23:01:01.347Z
2015-09-25T17:41:00.147Z
2017-04-13T12:19:37.213Z
jmbejara
<blockquote>
  <p>This answer is WRONG. I made the error of randomizing actions, not strategies. The probabilites I describe as $p$ and $q$ do not have to exist. As @jmbejara points out in <a href="https://economics.stackexchange.com/a/5866/1601">his excellent answer</a> the method I used may find the subgame perfect equilibria in a sequential game. This is not the case in this problem, so the method was definitely used incorrectly. What follows this blockquote is the incorrect answer.</p>
</blockquote>

<p>Method 1 seems to be the correct one.</p>

<p>The reason why method two is flawed is that the probabilities $a$, $b$ and $c$ are not independent as
$$
a = p \cdot q, \hskip 20pt b = p \cdot (1 - q), \hskip 20pt c = (1 - p) \cdot q, \hskip 20pt 1 - a - b - c = (1 - p) \cdot (1 - q).
$$
For example you could not have a strategy for player 1 where $a$, $b$ and $c$ are $\frac{1}{3}$, because that would imply
$$
1 - a - b - c = 0.
$$
But since $1 - a - b - c = (1 - p) \cdot (1 - q)$ this would mean that $p$ or $q$ equals one. Then $b$ or $c$ would also be 0, so we can indeed not have a strategy where they all are equal to $\frac{1}{3}$. </p>

CC BY-SA 3.0
2015-09-25T17:41:49.557Z
I believe this explanation is incorrect. See the answer that I wrote.
jmbejara
CC BY-SA 3.0
2015-09-25T21:14:49.340Z
@jmbejara I have only read the beginning of your answer so far but I think I see where it is going and I agree with you, my answer is incorrect. What do you recommend, do I delete my answer or leave it here with an edit to point out that it is incorrect?
Giskard
CC BY-SA 3.0
2015-09-25T21:24:35.323Z
Ok. Cool. Yeah, and I think there may be some details that I need to clean up in mine as well. If you find anything, I'd appreciate you pointing it out.  I'm not sure what to do with this question. It's up to you. It might make sense to leave it with an edit. If you do decide to delete it, I don't think you'll lose any reputation if it is deleted (see here: http://meta.stackexchange.com/questions/90062/if-i-delete-an-answer-do-i-lose-reputation).
jmbejara
CC BY-SA 3.0
2015-09-25T21:34:36.340Z
I did not find any mistakes in your answer. It is a very detailed (and a bit lengthy) explanation with useful references. I will think a bit about what to do with my answer and I also asked for the community's opinion in meta.
http://meta.economics.stackexchange.com/questions/1440/incorrect-answer-with-a-lot-of-votes
Giskard
CC BY-SA 3.0
2015-05-26T20:19:10.743Z
2015-09-27T14:59:32.200Z
2017-04-13T12:51:38.253Z
Giskard
<p>What's the correct way to solve BNE in mixed strategies? I've found two conflicting methods used.</p>

<p>Two players. Player 1 knows which game is being played, player 2 knows the game is chosen with probability $\mu$.</p>

<p>$
\begin{array}{c|c|c}
  \ &amp; A &amp; B \\
  \hline
  L &amp; 1, 1 &amp; 0, 0 \\
  \hline
  R &amp; 0, 0 &amp; 0, 0
 \end{array}
$</p>

<p>or</p>

<p>$
\begin{array}{c|c|c}
  \ &amp; A &amp; B \\
  \hline
  L &amp; 0, 0 &amp; 0, 0 \\
  \hline
  R &amp; 0, 0 &amp; 2, 2
 \end{array}
$</p>

<p>So for pure strategies I am finding a consistent method. Form a normal form game:</p>

<p>$
\begin{array}{c|c|c}
  \ &amp; A &amp; B \\
  \hline
  LL &amp; \mu, \mu &amp; 0, 0 \\
  \hline
  LR &amp; \mu, \mu &amp; 2\mu, 2\mu \\
  \hline
  RL &amp; 0, 0 &amp; 0, 0 \\
  \hline
  RR &amp; 0, 0 &amp; 2\mu,2\mu 
 \end{array}
$</p>

<p>This allows us to find the pure strategy solution by using the normal form. How do we calculate the mixed strategies?</p>

<p>I've seen two different methods.</p>

<p>1: Look at mixing over (L, R) in game 1 with probability (a, 1-a) and (L, R) in game 2 with probability (b, 1-b).</p>

<ol start="2">
<li>Look at mixing over (LL, LR, RL, RR) with probability (a, b, c, 1-a-b-c).</li>
</ol>

<p>Any advice/reading is much appreciated.</p>

<game-theory><bayesian-game>
Bayesian Nash Equilibrium - Mixed Strategies
Brian
# Bayesian Nash Equilibrium - Mixed Strategies

(Asked by: username_0 on 2015-05-26)

What's the correct way to solve BNE in mixed strategies? I've found two conflicting methods used.

Two players. Player 1 knows which game is being played, player 2 knows the game is chosen with probability $\mu$.

$
\begin{array}{c|c|c}
\ & A & B \\
\hline
L & 1, 1 & 0, 0 \\
\hline
R & 0, 0 & 0, 0
\end{array}
$

or

$
\begin{array}{c|c|c}
\ & A & B \\
\hline
L & 0, 0 & 0, 0 \\
\hline
R & 0, 0 & 2, 2
\end{array}
$

So for pure strategies I am finding a consistent method. Form a normal form game:

$
\begin{array}{c|c|c}
\ & A & B \\
\hline
LL & \mu, \mu & 0, 0 \\
\hline
LR & \mu, \mu & 2\mu, 2\mu \\
\hline
RL & 0, 0 & 0, 0 \\
\hline
RR & 0, 0 & 2\mu,2\mu
\end{array}
$

This allows us to find the pure strategy solution by using the normal form. How do we calculate the mixed strategies?

I've seen two different methods.

1: Look at mixing over (L, R) in game 1 with probability (a, 1-a) and (L, R) in game 2 with probability (b, 1-b).

2. Look at mixing over (LL, LR, RL, RR) with probability (a, b, c, 1-a-b-c).

Any advice/reading is much appreciated.

**Tags:** game-theory, bayesian-game

---

## 2 answers

### Answer by username_1 on 2015-05-29. Score: 9

I believe that the answer given by @denesp is incorrect. The second method involves simply writing the game in strategic of "normal" form. I believe
the first method is better (easier to use), but I think that they can both be used.
In the answer given by @desesp, the following explanation is given.

> The reason why method two is flawed is that the probabilities $a$, $b$
> and $c$ are not independent as $$ a = p \cdot q, \hskip 20pt b = p
> \cdot (1 - q), \hskip 20pt c = (1 - p) \cdot q, \hskip 20pt 1 - a - b
> - c = (1 - p) \cdot (1 - q). $$

Here, it appears that mixing is occurring over L in game 1 (with probability $p$) and L in game 2 (with probability $q$). This interpretation does make sense. I believe that @denesp is confusing conditional and unconditional probabilities. To better understand this, I'm going to start with a discussion of actions versus strategies. Then I'll discuss how the set of strategies considered in methods 1 is included in method 2. I'll note that method 2 contains a larger strategy set, which may or may not be useful. I'll conclude with an example of how both methods can produce the same answers.

# Difference between actions and strategies

In the explanation given above, it may appear that mixing is occurring over actions. This is not a
correct interpretation. It is technically incorrect because the player is not mixing over actions but mixing over strategies. This is because a player chooses strategies, not actions. A strategy is a plan
that denotes that actions that a player takes in any and every contingency.
We can think of it as mapping information sets to actions. This is important because we would like player 1's actions to depend on the state of nature---we want them to depend on which game he/she is playing.

For reference, we can find definitions of actions and strategies in the first chapter of Rasmusen's book, *Games and Information* (4th edition). The relevant text is given here:

[![enter image description here](https://i.sstatic.net/BjbHd.png)](https://i.sstatic.net/BjbHd.png)
[![enter image description here](https://i.sstatic.net/vBtKy.png)](https://i.sstatic.net/vBtKy.png)
[![enter image description here](https://i.sstatic.net/ASAZ8.png)](https://i.sstatic.net/ASAZ8.png)

# What are the sets of strategies considered in each method?

In the case of the game that you have given, the *pure* strategies available can be written succinctly (LL, LR, RL, RR), as you have already done in method 2.
Therefore, the method that you described in method two mixes over the pure strategies, with probabilities: $a$, $b$, $c$, and $1 -a-b-c$.

What strategies, then, are we mixing over in method 1? Suppose that $p$
is the probability of choosing L is game 1 and $q$ is the probability of choosing L in game 2. Then in method 1, we can see that we are choosing
*the conditional probability* of taking each action in each contingency.
Suppose that game 1 is denoted $G\_1$ and that game 2 is denoted $G\_2$.
When we specify $p$ and $q$, we are really specifying
$$
p=P(L|G\_1)\\ q=P(L|G\_2).
$$
Now, in order to show that these two methods are equivalent, we need to show that the sets of strategies represented by each of these sets is the same.

# Method 2 contains the same strategies as method 1, plus more.

First, note that the pure strategies LL, LR, RL, and RR can be represented in method 1 by setting $p$ and $q$ to zero or 1.

Suppose that we are using method 2 and that we choose a particular $a$,$b$, and $c$, as defined above. This can be represented in method 1
with
\begin{align\*}
p &= a + b \\
q &= a + c.
\end{align\*}

However, suppose we choose a particular $p$ and $q$ in method 1. It can be represented in method 2, but not uniquely.
Suppose $p=1/2$ and $q=1/2$. Then two possibilities are $(a,b,c) = (1/2,0,0)$
or another is $(a,b,c)=(0,1/2,1/2)$.

# Why does method 2 contain more strategies?

Method 2 contains more strategies because it allows more flexibility
to specify off-equilibrium behavior. This can end up capturing non-credible
threats. Depending on which equilibrium concept you're using, you may or may not want to include these. If you're only interested in Bayesian Nash equilibria, then you want to include these. If you're interested in sub-game perfect Nash equilibria or Bayesian sequential equilibria, then you don't want them.

# Here is an example of how method 1 can miss some equilibria

The following game is again take from Rasmusen's book. Suppose that in this game
Smith moves first.

[![enter image description here](https://i.sstatic.net/6usNs.png)](https://i.sstatic.net/6usNs.png)

Then, Jones must choose among 4 strategies. In each of these strategies, he specifies his actions in each contingency. The 4 strategies are listed here and the game is represented in strategic or "normal" form.

[![enter image description here](https://i.sstatic.net/Ziqd3.png)](https://i.sstatic.net/Ziqd3.png)

There are three equilibria, denoted $E\_1$, $E\_2$, and $E\_3$.
If we were simply interested in the Nash equilibria of this game,
we would include all of these equilbria. However, if we are interested
in only the subgame perfect equilibria, we would only want $E\_2$.
That is because $E\_1$ and $E\_3$ involve non-credible threats.

I believe that if we were to try to solve this game using method 1, we would not be able
to identify all three of these equilibria.

# Strategic, "Normal" form

In the question you've given, method 2 is essentially transforming this
into a static game in which we consider all the strategies. This means that we are considering the "normal" form of the game. This method is easy and appropriate if you're interested in finding the pure strategy equilibria. It can probably also used to find the mixed strategy BNE, but is perhaps more complicated then what is described in methods 2.
For reference,
here are some notes on the topic.
These notes give instructions on how to solve for the pure strategy Nash equilibria using the transformation that you've given. It also demonstrates how to solve the mixed strategy equilibria using method 1. (See <http://www.sas.upenn.edu/~ordonez/pdfs/ECON%20201/NoteBAYES.pdf> .)

# Further reference

You can also use this online tool to test how the methods can give you the same answers. This is a [tool to solve for the Nash equilibria](http://banach.lse.ac.uk/) of n by n games. I would recommend using this tool on the examples given in the previous section.
I found this tool [referenced in this other question](https://math.stackexchange.com/questions/881906/computer-software-for-solving-mixed-strategy-nash-equilibrium).


---

### Answer by username_2 on 2015-05-26. Score: 2

> This answer is WRONG. I made the error of randomizing actions, not strategies. The probabilites I describe as $p$ and $q$ do not have to exist. As @jmbejara points out in [his excellent answer](https://economics.stackexchange.com/a/5866/1601) the method I used may find the subgame perfect equilibria in a sequential game. This is not the case in this problem, so the method was definitely used incorrectly. What follows this blockquote is the incorrect answer.

Method 1 seems to be the correct one.

The reason why method two is flawed is that the probabilities $a$, $b$ and $c$ are not independent as
$$
a = p \cdot q, \hskip 20pt b = p \cdot (1 - q), \hskip 20pt c = (1 - p) \cdot q, \hskip 20pt 1 - a - b - c = (1 - p) \cdot (1 - q).
$$
For example you could not have a strategy for player 1 where $a$, $b$ and $c$ are $\frac{1}{3}$, because that would imply
$$
1 - a - b - c = 0.
$$
But since $1 - a - b - c = (1 - p) \cdot (1 - q)$ this would mean that $p$ or $q$ equals one. Then $b$ or $c$ would also be 0, so we can indeed not have a strategy where they all are equal to $\frac{1}{3}$.

> **Comments:**
> **username_1**: I believe this explanation is incorrect. See the answer that I wrote.  
> **username_2**: @jmbejara I have only read the beginning of your answer so far but I think I see where it is going and I agree with you, my answer is incorrect. What do you recommend, do I delete my answer or leave it here with an edit to point out that it is incorrect?  
> **username_1**: Ok. Cool. Yeah, and I think there may be some details that I need to clean up in mine as well. If you find anything, I'd appreciate you pointing it out.  I'm not sure what to do with this question. It's up to you. It might make sense to leave it with an edit. If you do decide to delete it, I don't think you'll lose any reputation if it is deleted (see here: http://meta.stackexchange.com/questions/90062/if-i-delete-an-answer-do-i-lose-reputation).  
> **username_2**: I did not find any mistakes in your answer. It is a very detailed (and a bit lengthy) explanation with useful references. I will think a bit about what to do with my answer and I also asked for the community's opinion in meta. http://meta.economics.stackexchange.com/questions/1440/incorrect-answer-with-a-lot-of-votes  

---

