Abdallah Saffidine
University of New South Wales
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Publication
Featured researches published by Abdallah Saffidine.
annual conference on computers | 2010
Tristan Cazenave; Abdallah Saffidine
Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It is for example the case in games that can end in draw positions. In this case it improves significantly a MCTS solver to take into account bounds on the possible scores of a node in order to select the nodes to explore. We apply our algorithm to solving Seki in the game of Go and to Connect Four.
advances in computer games | 2011
Abdallah Saffidine; Nicolas Jouandeau; Tristan Cazenave
breakthrough is a recent race-based board game usually played on a 8×8 board. We describe a method to solve 6×5 boards based on (1) race patterns and (2) an extension of (JLPNS).
international joint conference on artificial intelligence | 2011
Edith Elkind; Jérôme Lang; Abdallah Saffidine
In elections, an alternative is said to be a Condorcet winner if it is preferred to any other alternative by a majority of voters. While this is a very attractive solution concept, many elections do not have a Condorcet winner. In this paper, we propose a setvalued relaxation of this concept, which we call a Condorcet winning set: such sets consist of alternatives that collectively dominate any other alternative. We also consider a more general version of this concept, where instead of domination by a majority of voters we require domination by a given fraction Θ of voters; we refer to this concept as Θ-winning set. We explore social choice-theoretic and algorithmic aspects of these solution concepts, both theoretically and empirically.
Social Choice and Welfare | 2015
Edith Elkind; Jérôme Lang; Abdallah Saffidine
An alternative is said to be a Condorcet winner of an election if it is preferred to any other alternative by a majority of voters. While this is a very attractive solution concept, many elections do not have a Condorcet winner. In this paper, we propose a set-valued relaxation of this concept, which we call a Condorcet winning set: such sets consist of alternatives that collectively dominate any other alternative. We also consider a more general version of this concept, where instead of domination by a majority of voters we require domination by a given fraction
Knowledge Based Systems | 2012
Abdallah Saffidine; Tristan Cazenave; Jean Méhat
annual conference on computers | 2013
Abdallah Saffidine; Nicolas Jouandeau; Cédric Buron; Tristan Cazenave
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european conference on artificial intelligence | 2014
Timothy Joseph Cerexhe; David Rajaratnam; Abdallah Saffidine; Michael Thielscher
Autonomous Agents and Multi-Agent Systems | 2017
Dorothea Baumeister; Sylvain Bouveret; Jérôme Lang; Nhan-Tam Nguyen; Trung Thanh Nguyen; Jörg Rothe; Abdallah Saffidine
θ of voters; we refer to such sets as
international conference on technologies and applications of artificial intelligence | 2010
Abdallah Saffidine; Tristan Cazenave; Jean Méhat
international joint conference on artificial intelligence | 2017
Nicholas Mattei; Abdallah Saffidine; Toby Walsh
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