Surveys in combinatorics, 1995
Journal of Combinatorial Theory Series A
Optimal comparison strategies in Ulam's searching game with two errors
Theoretical Computer Science
Searching games with errors---fifty years of coping with liars
Theoretical Computer Science
Least adaptive optimal search with unreliable tests
Theoretical Computer Science
Least Adaptive Optimal Search with Unreliable Tests
SWAT '00 Proceedings of the 7th Scandinavian Workshop on Algorithm Theory
coping with Delays and Time-Outs in Binary Search Procedures
ISAAC '00 Proceedings of the 11th International Conference on Algorithms and Computation
Optimal Coding with One Asymmetric Error: Below the Sphere Packing Bound
COCOON '00 Proceedings of the 6th Annual International Conference on Computing and Combinatorics
Searching with lies under error cost constraints
Discrete Applied Mathematics
Two batch search with lie cost
IEEE Transactions on Information Theory
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
Hi-index | 0.06 |
What is the minimum number of yes-no questions needed to find an m bit number x in the set S = {0,1,...,2m -1} if up to l answers may be erroneous/false ? In case when the (t+1)th question is adaptively asked after receiving the answer to the tth question, the problem, posed by Ulam and R茅nyi, is a chapter of Berlekamp's theory of error-correcting communication with feedback. It is known that, with finitely many exceptions, one can find x asking Berlekamp's minimum number ql(m) of questions, i.e., the smallest integer q such that 2q 驴 2m((q l)+(q l-1)+...+(q 2)+q+1). At the opposite, nonadaptive extreme, when all questions are asked in a unique batch before receiving any answer, a search strategy with ql(m) questions is the same as an l-error correcting code of length ql(m) having 2m codewords. Such codes in general do not exist for l 1: Focusing attention on the case l = 2, we shall show that, with the exception of m = 2 and m = 4, one can always find an unknown m bit number x 驴 S by asking q2(m) questions in two nonadaptive batches. Thus the results of our paper provide shortest strategies with as little adaptiveness/interaction as possible.