EA2: the winning strategy for the inaugural Lemonade Stand Game Tournament
EA2: the winning strategy for the inaugural Lemonade Stand Game Tournament
We describe the winning strategy of the inaugural Lemonade Stand Game (LSG) Tournament. The LSG is a repeated symmetric 3–player constant–sum finite horizon game, in which a player chooses a location for their lemonade stand on an island with the aim of being as far as possible from its opponents. To receive a high utility in this game, our strategy, EA2 , attempts to find a suitable partner with which to coordinate and exploit the third player. To do this, we classify the behaviour of our opponents using the history of joint interactions in order to identify the best player to coordinate with and how this coordination should be established. This approach is designed to be adaptive to various types of opponents such that coordination is almost always achieved, which yields consistently high utilities to our agent, as evidenced by the Tournament results and our subsequent experimental analysis. Our strategy models behaviours of its opponents, rather than situations of the game (e.g. game theoretic equilibrium or off equilibrium paths), which makes EA2 easy to generalize to many other games.
209-214
Sykulski, Adam M.
6cec63f1-86f7-435f-8192-cc1fe10d9fad
Chapman, Archie
2eac6920-2aff-49ab-8d8e-a0ea3e39ba60
Munoz De Cote Flores Luna, Jose Enrique
afb4bdd8-8511-4961-a639-15521220a213
Jennings, Nick
ab3d94cc-247c-4545-9d1e-65873d6cdb30
August 2010
Sykulski, Adam M.
6cec63f1-86f7-435f-8192-cc1fe10d9fad
Chapman, Archie
2eac6920-2aff-49ab-8d8e-a0ea3e39ba60
Munoz De Cote Flores Luna, Jose Enrique
afb4bdd8-8511-4961-a639-15521220a213
Jennings, Nick
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Sykulski, Adam M., Chapman, Archie, Munoz De Cote Flores Luna, Jose Enrique and Jennings, Nick
(2010)
EA2: the winning strategy for the inaugural Lemonade Stand Game Tournament.
19th European Conference on Artificial Intelligence, , Lisbon, Portugal.
16 - 20 Aug 2010.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We describe the winning strategy of the inaugural Lemonade Stand Game (LSG) Tournament. The LSG is a repeated symmetric 3–player constant–sum finite horizon game, in which a player chooses a location for their lemonade stand on an island with the aim of being as far as possible from its opponents. To receive a high utility in this game, our strategy, EA2 , attempts to find a suitable partner with which to coordinate and exploit the third player. To do this, we classify the behaviour of our opponents using the history of joint interactions in order to identify the best player to coordinate with and how this coordination should be established. This approach is designed to be adaptive to various types of opponents such that coordination is almost always achieved, which yields consistently high utilities to our agent, as evidenced by the Tournament results and our subsequent experimental analysis. Our strategy models behaviours of its opponents, rather than situations of the game (e.g. game theoretic equilibrium or off equilibrium paths), which makes EA2 easy to generalize to many other games.
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ECAI-604.PDF
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Published date: August 2010
Additional Information:
Event Dates: August 16-20, 2010
Venue - Dates:
19th European Conference on Artificial Intelligence, , Lisbon, Portugal, 2010-08-16 - 2010-08-20
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 271215
URI: http://eprints.soton.ac.uk/id/eprint/271215
PURE UUID: 9464f124-6f3c-4a30-b1a1-b2575997b206
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Date deposited: 02 Jun 2010 10:15
Last modified: 14 Mar 2024 09:25
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Contributors
Author:
Adam M. Sykulski
Author:
Archie Chapman
Author:
Jose Enrique Munoz De Cote Flores Luna
Author:
Nick Jennings
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