Relevant bibliographies by topics / Rock-paper-scissors game

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Rock-paper-scissors game'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Rock-paper-scissors game"

1

Zhou, Hai-Jun. "The rock–paper–scissors game." Contemporary Physics 57, no. 2 (2015): 151–63. http://dx.doi.org/10.1080/00107514.2015.1026556.

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Ganikhodjaev, Nasir, and Pah Chin Hee. "Rock-Paper-Scissors Lattice Model." Malaysian Journal of Fundamental and Applied Sciences 16, no. 4 (2020): 400–402. http://dx.doi.org/10.11113/mjfas.v16n4.1726.

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In this work, we introduce Rock-Paper-Scissors lattice model on Cayley tree of second order generated by Rock-Paper-Scissors game. In this strategic 2-player game, the rule is simple: rock beats scissors, scissors beat paper, and paper beats rock. A payoff matrix of this game is a skew-symmetric. It is known that quadratic stochastic operator generated by this matrix is non-ergodic transformation. The Hamiltonian of Rock-Paper-Scissors Lattice Model is defined by this skew-symmetric payoff matrix . In this paper, we discuss a connection between three fields of research: evolutionary games, qua
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Chippindale, Adam K. "A cryptic rock-paper-scissors game betweenDrosophilamales." Molecular Ecology 22, no. 5 (2013): 1190–92. http://dx.doi.org/10.1111/mec.12208.

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Komai, Takahiro, Hiroaki Kurokawa, and Song-Ju Kim. "Human Randomness in the Rock-Paper-Scissors Game." Applied Sciences 12, no. 23 (2022): 12192. http://dx.doi.org/10.3390/app122312192.

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In this study, we investigated the human capacity to generate randomness in decision-making processes using the rock-paper-scissors (RPS) game. The randomness of the time series was evaluated using the time-series data of RPS moves made by 500 subjects who played 50 consecutive RPS games. The indices used for evaluation were the Lempel–Ziv complexity and a determinism index obtained from a recurrence plot, and these indicators represent the complexity and determinism of the time series, respectively. The acquired human RPS time-series data were compared to a pseudorandom RPS sequence generated
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Chen, Hongbo. "Game Theory and Nash Equilibrium in Rock Paper Scissors." Highlights in Business, Economics and Management 1 (November 28, 2022): 234–37. http://dx.doi.org/10.54097/hbem.v1i.2568.

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Game theory is a theory that has been widely used and analyzed in real life circumstances such as trading or investing. It is the study of strategic decision making. This theory can be modeled and applied to mathematics or economy to help people, societies, and governments make better decisions. This paper will discuss the basic concepts of game theory, such as what is game theory, the basic elements of game theory and the practical application of game theory. This paper will elaborate the principles of game theory through the example of rock paper scissors. This paper will also explain the co
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Brockbank, Erik, and Edward Vul. "Formalizing Opponent Modeling with the Rock, Paper, Scissors Game." Games 12, no. 3 (2021): 70. http://dx.doi.org/10.3390/g12030070.

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In simple dyadic games such as rock, paper, scissors (RPS), people exhibit peculiar sequential dependencies across repeated interactions with a stable opponent. These regularities seem to arise from a mutually adversarial process of trying to outwit their opponent. What underlies this process, and what are its limits? Here, we offer a novel framework for formally describing and quantifying human adversarial reasoning in the rock, paper, scissors game. We first show that this framework enables a precise characterization of the complexity of patterned behaviors that people exhibit themselves, an
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Reiser, Elana. "Comparing Probabilities: Rock, Paper, Scissors, and Coin Toss." Mathematics Teacher: Learning and Teaching PK-12 114, no. 9 (2021): 685–90. http://dx.doi.org/10.5951/mtlt.2021.0031.

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In this activity, students find the theoretical probabilities of winning a coin toss and a round of the rock, paper, scissors game. They next devise strategies to win and test them out. Students then compare the theoretical probabilities they found with the experimental probabilities.
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Barreto, Wendell P., Flavia M. D. Marquitti, and Marcus A. M. de Aguiar. "A genetic approach to the rock-paper-scissors game." Journal of Theoretical Biology 421 (May 2017): 146–52. http://dx.doi.org/10.1016/j.jtbi.2017.04.003.

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Szabó, György, Attila Szolnoki, and Rudolf Izsák. "Rock-scissors-paper game on regular small-world networks." Journal of Physics A: Mathematical and General 37, no. 7 (2004): 2599–609. http://dx.doi.org/10.1088/0305-4470/37/7/006.

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Maehara, Hiroshi, and Sumie Ueda. "On the waiting time in a janken game." Journal of Applied Probability 37, no. 2 (2000): 601–5. http://dx.doi.org/10.1239/jap/1014842562.

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Consider a janken game (scissors-paper-rock game) started by n players such that (1) the first round is played by n players, (2) the losers of each round (if any) retire from the rest of the game, and (3) the game ends when only one player (winner) is left. Let Wn be the number of rounds played through the game. Among other things, it is proved that (2/3)nWn is asymptotically (as n → ∞) distributed according to the exponential distribution with mean ⅓, provided that each player chooses one of the three strategies (scissors, paper, rock) with equal probability and independently from other playe
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Dissertations / Theses on the topic "Rock-paper-scissors game"

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He, Qian. "Spatio-Temporal Patterns, Correlations, and Disorder in Evolutionary Game Theory." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/40296.

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Evolutionary game theory originated from the application of mathematical game theory to biological studies. Well-known examples in evolutionary game theory are the prisoner's dilemma, predator-prey models, the rock-paper-scissors game, etc. Recently, such well-known models have attracted increased interest in population dynamics to understand the emergence of biodiversity and species coexistence. Meanwhile, it has been realized that techniques from statistical physics can aid us to gain novel insights into this interdisciplinary field. In our research, we mainly employ individual-based Mo
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Books on the topic "Rock-paper-scissors game"

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Walker, Douglas. The official rock paper scissors strategy guide. Simon & Schuster, 2004.

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Byl, John. Why paper & scissors rock!!! CIRA Ontario, 2003.

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Rock, Paper, Scissors. Perseus Books Group, 2009.

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Rock - Paper - Scissors THE TOTAL ACTION GAME. Nicotext, 2003.

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Walker, Douglas, and Graham Walker. Official Rock Paper Scissors Strategy Guide. Simon & Schuster, Limited, 2004.

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Rex, Adam, and Drew Daywalt. Legend of Rock, Paper, Scissors. HarperCollins Publishers Limited, 2018.

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Rex, Adam, and Drew Daywalt. Legend of Rock, Paper, Scissors. HarperCollins Publishers Limited, 2017.

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Daywalt, Drew. Legend of Rock, Paper, Scissors. HarperCollins Publishers, 2017.

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Rex, Adam, and Drew Daywalt. Legend of Rock, Paper, Scissors. HarperCollins Publishers Limited, 2017.

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Rex, Adam, and Drew Daywalt. Legend of Rock, Paper, Scissors. HarperCollins Publishers Limited, 2017.

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Book chapters on the topic "Rock-paper-scissors game"

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Tyers, Ben. "Rock, Paper, Scissors Game Remake." In GameMaker: Studio 100 Programming Challenges. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2644-5_51.

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Kovács, György, Csaba Makara, and Attila Fazekas. "The Multi-modal Rock-Paper-Scissors Game." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04380-2_93.

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Tainaka, Kei-ichi. "Physics and Ecology of Rock-Paper-Scissors Game." In Computers and Games. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45579-5_25.

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Zink, Mathias, Paulina Friemann, and Marco Ragni. "Predictive Systems: The Game Rock-Paper-Scissors as an Example." In PRICAI 2019: Trends in Artificial Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29908-8_41.

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Xie, Wendan, Changjun Zhou, Xianwen Fang, Zhixiang Yin, and Qiang Zhang. "Rock-Paper-Scissors Game Based on Two-Domain DNA Strand Displacement." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1651-7_30.

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Gómez Esteban, Pablo, and Alfonso Rodríguez-Patón. "Simulating a Rock-Scissors-Paper Bacterial Game with a Discrete Cellular Automaton." In New Challenges on Bioinspired Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21326-7_39.

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Yuan, Xvjun, Shan Dai, and Yeyang Fang. "A Natural Immersive Closed-Loop Interaction Method for Human–Robot “Rock–Paper–Scissors” Game." In Recent Trends in Intelligent Computing, Communication and Devices. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9406-5_14.

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Dumartinet, Julien, Gaël Foppolo, Loïc Forthoffer, Pierre Marais, Madalina Croitoru, and Julien Rabatel. "Contextual Sequential Pattern Mining in Games: Rock, Paper, Scissors, Lizard, Spock." In Research and Development in Intelligent Systems XXXII. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25032-8_29.

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Ahmadi, Ehsan, Ali Ghorbandaei Pour, Alireza Siamy, Alireza Taheri, and Ali Meghdari. "Playing Rock-Paper-Scissors with RASA: A Case Study on Intention Prediction in Human-Robot Interactive Games." In Social Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35888-4_32.

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Gupta, Sunil. "Segment 1 – Rock, Paper Scissors Game 01." In Practical Python Projects. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8202-1_12.

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Conference papers on the topic "Rock-paper-scissors game"

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Tekeli, Nihat, Burcin Buket Ogul, and Pinar Duygulu. "Rock-paper-scissors game against computer." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7495784.

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Hasuda, Yuko, Shintaro Ishibashi, Hiroaki Kozuka, Hideharu Okano, and Jyun Ishikawa. "A robot designed to play the game "Rock, Paper, Scissors"." In 2007 IEEE International Symposium on Industrial Electronics. IEEE, 2007. http://dx.doi.org/10.1109/isie.2007.4374926.

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Matsumoto, Yui, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, and Hidetomo Ichihashi. "Application of cluster validity criteria to Rock-Paper-Scissors game judgment." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250801.

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Yoon, Ho-sub, and Su-young Chi. "Visual Processing of Rock, Scissors, Paper Game for Human Robot Interaction." In 2006 SICE-ICASE International Joint Conference. IEEE, 2006. http://dx.doi.org/10.1109/sice.2006.315701.

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Mali, Imre Gergely, and Gabriela Czibula. "Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game." In ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ciaco - i6doc.com, 2023. http://dx.doi.org/10.14428/esann/2023.es2023-92.

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Jia, Susu, Zheng Kuang, Haihui Cheng, Xinzhu Meng, Tasawar Hayat, and Aatef Hobiny. "Analysis and Simulations of the Rock-Paper-Scissors Game with Environmental Feedback." In IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers. ACM, 2022. http://dx.doi.org/10.1145/3544109.3544310.

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Rossato, Marcelo Cargnelutti, and Marcus Aloizio Martinez de Aguiar. "A GENETIC MODEL OF POLYMORPHISM GUIDED BY THE ROCK-PAPER-SCISSORS GAME." In Anais do Encontro Nacional de Modelagem Computacional e Encontro de Ciência e Tecnologia dos Materiais. Even3, 2023. http://dx.doi.org/10.29327/1340957.26-8.

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Murukesh, Aadhithya, and R. Logeshwari. "Rock, Paper and Scissor Using AI- Random Forest Algorithm." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-udj0cq.

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Rock, paper, scissors (RPS) is a game of crucial decision-making that can be used to test various learning algorithms due to its simplicity. Random Forest is a Rock Paper Scissors Agent that makes predictions using the Random Forest Classification with a bit of random. The randomness on this agent has been limited only while losing (and partially due to window length), displaying the algorithm's true potential. A simulation of various AI agents is developed to compare and analyze against the Random forest algorithm.
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Aubert, Nathanael, Quang Dinh, Masami Hagiya, et al. "Evolving cheating DNA networks: a Case Study with the Rock–Paper–Scissors Game." In European Conference on Artificial Life 2013. MIT Press, 2013. http://dx.doi.org/10.7551/978-0-262-31709-2-ch174.

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Hawick, Ken A. "Complex Domain Layering in Even-Odd Cyclic State Rock-Paper-Scissors Game Simulations." In Modelling and Simulation. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-062.

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