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Myerson value

Myerson value is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Myerson value rather than just read about it. In short: The Myerson value is a solution concept in cooperative game theory. It is a generalization of the Shapley value to communication games on networks.

Key takeaways

  • Myerson value belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Myerson value to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Myerson value from memory before moving on to harder problems.

Reference excerpt

The Myerson value is a solution concept in cooperative game theory. It is a generalization of the Shapley value to communication games on networks. The solution concept and the class of cooperative communication games it applies to was introduced by Roger Myerson in 1977.

Preliminaries

Cooperative games A (transferable utility) cooperative game is defined as a pair ( N , v ) {\displaystyle (N,v)} , where N {\displaystyle N} is a set of players and v : 2 N → R {\displaystyle v:2^{N}\rightarrow \mathbb {R} } is a characteristic function, and 2 N {\displaystyle 2^{N}} is the power set of N {\displaystyle N} . Intuitively, v ( S ) {\displaystyle v(S)} gives the "value" or "worth" of coalition S ⊆ N {\displaystyle S\subseteq N} , and we have the normalization restriction v ( ∅ ) = 0 {\displaystyle v(\varnothing )=0} . The set of all such games v {\displaystyle v} for a fixed N {\displaystyle N} is denoted as W ( N ) {\displaystyle W(N)} .

Solution concepts and the Shapley value A solution concept – or imputation – in cooperative game theory is an allocation rule φ : W ( N ) → R | N | {\displaystyle \varphi :W(N)\rightarrow \mathbb {R} ^{|N|}} , with its i {\displaystyle i} -th component φ i ( v ) {\displaystyle \varphi _{i}(v)} giving the value that player i {\displaystyle i} receives.A common solution concept is the Shapley value φ S {\displaystyle \varphi ^{S}} , defined component-wise as

φ i S ( v ) = ∑ S ⊆ N ∖ { i } | S | ! ( | N | − | S | − 1 ) ! | N | ! ( v ( S ∪ { i } ) − v ( S ) ) {\displaystyle \varphi _{i}^{S}(v)=\sum _{S\subseteq N\setminus \{i\}}{\frac {|S|!\;(|N|-|S|-1)!}{|N|!}}(v(S\cup \{i\})-v(S))}

Intuitively, the Shapley value allocates to each i ∈ N {\displaystyle i\in N} how much they contribute in value (defined via the characteristic function v {\displaystyle v} ) to every possible coalition S ⊆ N {\displaystyle S\subseteq N} .

Communication games Given a cooperative game ( N , v ) {\displaystyle (N,v)} , suppose the players in N {\displaystyle N} are connected via a graph – or network – ( N , g ) {\displaystyle (N,g)} . This network represents the idea that some players can communicate and coordinate with each other (but not necessarily with all players), imposing a restriction on which coalitions can be formed. Such overall structure can be represented by a communication game ( N , g , v ) {\displaystyle (N,g,v)} . The graph ( N , g ) {\displaystyle (N,g)} can be partitioned into its components, which in turn induces a unique partition on any subset S ⊆ N {\displaystyle S\subseteq N} given by

Π ( S , g | S ) = { { i : i j ∈ g } : j ∈ S } {\displaystyle \Pi (S,g|_{S})=\{\{i:ij\in g\}:j\in S\}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Myerson value

Start with the simplest possible case. Write down what Myerson value claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Myerson value before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Myerson value ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Myerson value

In research
Myerson value appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Myerson value in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Myerson value is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cooperative games, Network theory, so understanding it makes those chapters shorter.
In everyday life
Look for Myerson value outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Myerson value in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Myerson value means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Myerson value out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Myerson value in simple terms?

The Myerson value is a solution concept in cooperative game theory. It is a generalization of the Shapley value to communication games on networks.

Why does Myerson value matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Myerson value?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Myerson value.

Tags

  • Cooperative games
  • Network theory

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