Abstract
The Big Match is a multi-stage two-player game. In each stage Player 1 hides one or two pebbles in his hand, and his opponent has to guess that number; Player 1 loses a point if Player 2 is correct, and otherwise he wins a point. As soon as Player 1 hides one pebble, the players cannot change their choices in any future stage. Blackwell and Ferguson (1968) give an £-optimal strategy for Player 1 that hides, in each stage, one pebble with a probability that depends on the entire past history. Any strategy that depends just on the clock or on a finite memory is worthless. The long-standing natural open problem has been whether every strategy that depends just on the clock and a finite memory is worthless. We prove that there is such a strategy that is £-optimal. In fact, we show that just two states of memory are sufficient.
Original language | English |
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Title of host publication | ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation |
Publisher | Association for Computing Machinery, Inc |
Pages | 149-150 |
Number of pages | 2 |
ISBN (Electronic) | 9781450358293 |
DOIs | |
State | Published - 11 Jun 2018 |
Event | 19th ACM Conference on Economics and Computation, EC 2018 - Ithaca, United States Duration: 18 Jun 2018 → 22 Jun 2018 |
Publication series
Name | ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation |
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Conference
Conference | 19th ACM Conference on Economics and Computation, EC 2018 |
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Country/Territory | United States |
City | Ithaca |
Period | 18/06/18 → 22/06/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computing Machinery.
Keywords
- Bounded memory
- Markov Strategies
- Stochastic Games