**Reference**:- Erik D. Demaine, Fermi Ma, Erik Waingarten, Ariel Schvartzman, and Scott Aaronson, “The Fewest Clues Problem”, in
*Proceedings of the 8th International Conference on Fun with Algorithms (FUN 2016)*, La Maddalena, Italy, June 8–10, 2016, 12:1–12:12. **Abstract**:-
When analyzing the computational complexity of well-known puzzles, most papers
consider the algorithmic challenge of
*solving*a given instance of (a generalized form of) the puzzle. We take a different approach by analyzing the computational complexity of designing a “good” puzzle. We assume a puzzle maker designs part of an instance, but before publishing it, wants to ensure that the puzzle has a unique solution. Given a puzzle, we introduce the FCP (fewest clues problem) version of the problem:Given an instance to a puzzle, what is the minimum number of clues we must add in order to make the instance uniquely solvable?

We analyze this question for the Nikoli puzzles Sudoku, Shakashaka, and Akari. Solving these puzzles is NP-complete, and we show their FCP versions are Σ

_{2}^{P}-complete. Along the way, we show that the FCP versions of 3SAT, 1-in-3 SAT, Triangle Partition, Planar 3SAT, and Latin Square are all Σ_{2}^{P}-complete. We show that even problems in P have difficult FCP versions, sometimes even Σ_{2}^{P}-complete, though*“closed under cluing”*problems are in the (presumably) smaller class NP; for example, FCP 2SAT is NP-complete. **Availability**:- The paper is available in PDF (559k).
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Last updated November 16, 2017 by Erik Demaine.