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Grounding Strategic Conversation: Using Negotiation Dialogues to Predict Trades in a Win-Lose Game

Cadilhac, Anaïs and Asher, Nicholas and Benamara Zitoune, Farah and Lascarides, Alex Grounding Strategic Conversation: Using Negotiation Dialogues to Predict Trades in a Win-Lose Game. (2013) In: Empirical Methods on Natural Language Processing - EMNLP 2013, 18 October 2013 - 21 October 2013 (Seattle, United States).

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Abstract

This paper describes a method that predicts which trades players execute during a winlose game. Our method uses data collected from chat negotiations of the game The Settlers of Catan and exploits the conversation to construct dynamically a partial model of each player’s preferences. This in turn yields equilibrium trading moves via principles from game theory. We compare our method against four baselines and show that tracking how preferences evolve through the dialogue and reasoning about equilibrium moves are both crucial to success.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Edinburgh (UNITED KINGDOM)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:09 Apr 2015 09:56

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