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Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications., , , , и . Auton. Agents Multi Agent Syst., 13 (1): 27-60 (2006)Coordinating randomized policies for increasing security of agent systems., , , , , и . Inf. Technol. Manag., 10 (1): 67-79 (2009)Experimental analysis of privacy loss in DCOP algorithms., , , и . AAMAS, стр. 1424-1426. ACM, (2006)Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling., , , , и . AAMAS, стр. 310-317. IEEE Computer Society, (2004)An efficient heuristic approach for security against multiple adversaries., , , , и . AAMAS, стр. 181. IFAAMAS, (2007)Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agents., , , , и . AAMAS, стр. 1030-1037. ACM, (2005)How local is that optimum? k-optimality for DCOP., , и . AAMAS, стр. 1303-1304. ACM, (2005)Analysis of Privacy Loss in Distributed Constraint Optimization., , и . AAAI, стр. 647-653. AAAI Press, (2006)Solution sets for DCOPs and graphical games., , и . AAMAS, стр. 577-584. ACM, (2006)Locally Optimal Algorithms and Solutions for Distributed Constraint Optimization.. AAAI, AAAI Press, (2006)