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A characterization of von Neumann games in terms of memory Giacomo Bonanno, University of California, Davis
ABSTRACT: An information completion of an extensive game is obtained by
extending the information partition of every player from the set of her
decision nodes to the set of all nodes. The extended partition satisfies Memory
of Past Knowledge ( MPK) if at any node a player remembers what she knew at
earlier nodes. It is shown that MPK can be satisfied in a game if and only if
the game is von Neumann ( vN) and satisfies memory at decision nodes ( the
restriction of MPK to a player's own decision nodes). A game is vN if any two
decision nodes that belong to the same information set of a player have the
same number of predecessors. By providing an axiom for MPK we also obtain a
syntactic characterization of the said class of vN games.
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