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Multiagent Systems

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Prof. Dr. Jürgen Dix · Department of Informatics, TUC <strong>Multiagent</strong> <strong>Systems</strong>, WS 06/07 201/731<br />

3. Decision Making (1) 2. Non-coop Games<br />

Definition 3.14 (Maxmin strategy)<br />

Given a game 〈{1, 2}, {A 1 , A 2 }, {µ 1 , µ 2 }〉, the maxmin<br />

strategy of player i is a mixed strategy that maximises the<br />

guaranteed payoff of player i, no matter what the other<br />

player −i does:<br />

argmax si<br />

min<br />

s −i<br />

µ expected<br />

i (s 1 , s 2 )<br />

The maxmin value for player i is<br />

max si min s−i µ expected<br />

i (s 1 , s 2 ).<br />

The minmax strategy for player i is<br />

argmin si<br />

max<br />

s −i<br />

µ expected<br />

−i (s 1 , s 2 )<br />

and its minmax value is min s−i max si µ expected<br />

−i (s 1 , s 2 ).

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