Searching with lies under error cost constraints
Ahlswede, Rudolf
Ahlswede
Rudolf
Cicalese, Ferdinando
Cicalese
Ferdinando
Deppe, Christian
Deppe
Christian
The Wnyi-Berlekamp-Ulam game is a classical model for the problem of determining the minimum number of queries to find an unknown member in a finite set when up to a finite number of the answers may be erroneous. In the variant considered in this paper, questions with q many possible answers are allowed, further lies are constrained by a bipartite graph with edges weighted by 0, 1, 2.... (the "channel"). The channel Gamma is an arbitrary assignment stipulating the cost of the different possible lies, i.e., of each answer j not equal i when the correct answer is i by Gamma(i, j). It is also assumed that a maximum cost a (sum of the cost of all wrong answers) can be afforded by the responder during the whole game. We provide tight asymptotic bounds for the number of questions needed to solve this problem. The appropriate searching strategies are actually provided. We also show that adaptiveness can be dramatically reduced when the channel satisfies certain symmetry constraints. (C) 2007 Elsevier B.V. All rights reserved.
156
9
1444-1460
1444-1460
Elsevier
2008