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Related papers: Card Guessing with Partial Feedback

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How can we generate a permutation of the numbers $1$ through $n$ so that it is hard to guess the next element given the history so far? The twist is that the generator of the permutation (the ``Dealer") has limited memory, while the…

Data Structures and Algorithms · Computer Science 2025-06-10 Boaz Menuhin , Moni Naor

When shuffling a deck of cards, one probably wants to make sure it is thoroughly shuffled. A way to do this is by sifting through the cards to ensure that no adjacent cards are the same number, because surely this is a poorly shuffled deck.…

Combinatorics · Mathematics 2019-11-19 James Enouen

To keep card sorting with a lot of cards concise, a common strategy for gauging mental models involves presenting participants with fewer randomly selected cards instead of the full set. This is a decades-old practice, but its effects…

Human-Computer Interaction · Computer Science 2026-01-12 Eduard Kuric , Peter Demcak , Matus Krajcovic

We show that for any semi-random transposition shuffle on $n$ cards, the mixing time of any given $k$ cards is at most $n\log k$, provided $k=o((n/\log n)^{1/2})$. In the case of the top-to-random transposition shuffle we show that there is…

Probability · Mathematics 2013-02-12 Richard Pymar

A defining feature of collectable card games is the deck building process prior to actual gameplay, in which players form their decks according to some restrictions. Learning to build decks is difficult for players and models alike due to…

Artificial Intelligence · Computer Science 2024-07-15 Timo Bertram , Johannes Fürnkranz , Martin Müller

Consider the following method of card shuffling. Start with a deck of $N$ cards numbered 1 through N. Fix a parameter $p$ between 0 and 1. In this model a ``shuffle'' consists of uniformly selecting a pair of adjacent cards and then…

Probability · Mathematics 2007-05-23 Itai Benjamini , Noam Berger , Christopher Hoffman , Elchanan Mossel

We investigate a one-time single shelf shuffle by establishing the position matrix explicitly. In some cases, we prove a no-feedback optimal guessing strategy. A general no-feedback strategy is conjectured, and asymptotics for the expected…

Probability · Mathematics 2025-07-15 Alexander Clay

Consider an n by n array of cards shuffled in the following manner. An element x of the array is chosen uniformly at random; Then with probability 1/2 the rectangle of cards above and to the left of x is rotated 180 degrees, and with…

Probability · Mathematics 2007-05-23 Robin Pemantle

Arriving at the complete probabilistic knowledge of a domain, i.e., learning how all variables interact, is indeed a demanding task. In reality, settings often arise for which an individual merely possesses partial knowledge of the domain,…

Artificial Intelligence · Computer Science 2015-06-19 Ardavan Salehi Nobandegani , Ioannis N. Psaromiligkos

The game of memory is played with a deck of n pairs of cards. The cards in each pair are identical. The deck is shuffled and the cards laid face down. A move consists of flipping over first one card then another. The cards are removed from…

Probability · Mathematics 2012-08-27 Daniel J. Velleman , Gregory S. Warrington

This paper considers the effect of riffle shuffling on decks of cards, allowing for some cards to be indistinguishable from other cards. The dual problem of dealing a game with hands, such as bridge or poker, is also considered. The…

Probability · Mathematics 2010-02-10 Mark Conger , Jason Howald

Standard perfect shuffles involve splitting a deck of $2n$ cards into two stacks and interlacing the cards from the stacks. There are two ways that this interlacing can be done, commonly referred to as an in shuffle and an out shuffle,…

Combinatorics · Mathematics 2022-03-09 Samuel Johnson , Lakshman Manny , Cornelia A. Van Cott , QiYu Zhang

The card-cyclic-to-random shuffle is the card shuffle where the $n$ cards are labeled $1,\ldots,n$ according to their starting positions. Then the cards are mixed by first picking card $1$ from the deck and reinserting it at a uniformly…

Probability · Mathematics 2015-09-29 Johan Jonasson

The strategies adopted by individuals to select relevant information to pass on are central to understanding problem solving by groups. Here we use agent-based simulations to revisit a cooperative problem-solving scenario where the task is…

Multiagent Systems · Computer Science 2019-05-21 Sandro M. Reia , Paulo F. Gomes , José F. Fontanari

Guessing games for directed graphs were introduced by Riis for studying multiple unicast network coding problems. In a guessing game, the players toss generalised dice and can see some of the other outcomes depending on the structure of an…

Information Theory · Computer Science 2014-11-04 Rahil Baber , Demetres Christofides , Anh N. Dang , Søren Riis , Emil Vaughan

Since it was first published 30 years ago, Chi et al.'s seminal paper on expert and novice categorization of introductory problems led to a plethora of follow-up studies within and outside of the area of physics [Chi et al. Cognitive…

Physics Education · Physics 2012-07-09 Steven F. Wolf , Daniel P. Dougherty , Gerd Kortemeyer

In this paper, we study some cards shuffles which are used by magicians. We focus ourselves on the possibility to hit eventually the initial state after several shuffles. This is a classical problem arising in discrete dynamical systems.…

History and Overview · Mathematics 2011-08-15 Aimé Lachal

The Hummer Principle was born from the mind of Bob Hummer in 1946, which consists of performing card shuffles with an even number of cards while leaving some properties of the deck intact. In this document, we will present a generalization…

History and Overview · Mathematics 2023-12-14 Sergio Fernandez de soto Guerrero

We study a guessing game where Alice holds a discrete random variable $X$, and Bob tries to sequentially guess its value. Before the game begins, Bob can obtain side-information about $X$ by asking an oracle, Carole, any binary question of…

Discrete Mathematics · Computer Science 2020-10-13 Natan Ardimanov , Ofer Shayevitz , Itzhak Tamo

We consider the problem of online multiclass classification with partial feedback, where an algorithm predicts a class for a new instance in each round and only receives its correctness. Although several methods have been developed for this…

Machine Learning · Computer Science 2019-02-05 Takuo Kaneko , Issei Sato , Masashi Sugiyama