Game Of Checkers Research Articles

Enhancing comparative politics education in the Asia-Pacific region: A study on the effectiveness of Chinese checkers game for strategy and negotiation learning

Background This research conducted an extensive exploration in 2021 and 2022 to investigate the implications of integrating Chinese checkers into Comparative Politics courses across the Asia-Pacific region. The primary aim was to enhance students’ strategic thinking and negotiation skills and determine if active engagement with Chinese checkers could significantly improve academic performance. Methods The study employed paired-samples t-tests and independent-samples t-tests to evaluate the impact of Chinese checkers. It involved assessing the academic performance and strategic thinking abilities of students who engaged with the game. The study encompassed a thorough design, participant selection, and procedures related to the intervention, including various outcome measures. Results The investigation revealed notable improvements in academic performance, especially in strategic thinking, among students who actively participated in Chinese checkers gameplay. This research also substantiated the enhanced strategic thinking abilities of students who integrated Chinese checkers into their curriculum, contributing to the corpus of knowledge on innovative pedagogical practices. Conclusions The findings of this study are relevant to educators, students, and policymakers, emphasizing the educational value of unconventional teaching methods like Chinese checkers. In light of the increasing importance of the Asia-Pacific region in global politics, this research underscores the significance of nurturing strategic thinking skills among undergraduate students. The study contributes to the cultivation of critical thinking and strategic acumen within higher education, potentially benefiting society by fostering superior academic performance and the development of strategic thinking abilities.

Mathematics Exploration Extant in The Checker Game: A Mathematics Teaching Contribution

Aversion to mathematics shown by learners belonging to different age stages, worries and challenges mathematicians and/ or mathematics teachers to develop surveys which might improve learners´ mathematics learnings. “Thawing” recondite mathematics in several games may aid to provide a different mathematics vision. The current research article aims to identify and analyze the “concealed” mathematics through checker games played in Angola, mostly in Cuando Cubango province. The survey is placed in ethnomathematics and considering its sorts, qualitative methodology has been used supported by a half-structured interview, direct observation to picture recording. The research was conducted in the Menongue municipality (Cuando Cubango capital city). The three versions of checkers games were described (12 by 12; 10 by 10 and 8 by 8), some questions were created that guided this investigation (Why does the structure of the checkers game have the same number of rows and columns? Why do players when placing checkers pieces in the middle always leave two empty rows? Why is the sum of rows and columns equal to the even number? Why is each painted square on the checkers board corresponds to an odd number?) and, finally, some mathematical concepts involved in that game were explored (such as, for example, the notion of the Cartesian plane, diagonal lines, distance between two points, median (element of Statistics), numbers even and odd).

Game of checkers: Ethnography of transvestites (travestis) who prostitute in Aracaju, capital of Sergipe/Brazil

This research record is part of the cycle of an ethnographic investigation, which I carried out from 2014 to 2020, in territories of transvestite (travesti, in Portuguese) prostitution. The ethnography that moved along these years encompassed several cities, including European cities. However, I selected only part of the records made in Aracaju for this present contribution. The clipping is due to the urgency of exposing the conditions in which travestis, a silenced, concealed, stigmatized and violated group, submit themselves, as a Brazilian cultural phenomenon, when they find themselves at the heart of the tangled tensions in the field of forces that sew their nocturnal lives in regions of prostitution. Travestis are, in general terms, people designated male at birth, whose gender expression deviates from what is imposed on them and aligns with what is socially established as female. However, they do not consider themselves women.

Gantry Robot System Checkers Player

Technological developments in the field of moving goods are increasing rapidly. Production processes in fields such as the automotive, medical world, and even for household needs use the Pick and Place system for the production process. It has been proven, for a long time, that research has improved the Pick and Place system for many sectors, especially how this process can be combined with AI. Because of this, there has been a lot of research on how to make robots play games with their own brains. For now, most of the game development for AI is board games such as chess, Checkers, Tic Tac Toe, and other board games. Therefore, this paper will explain how to make a robot that can play board games. By implementing the gantry robot system, the robot will be made to play the Checkers game by integrating the robot with the existing AI checker. The concept of this robot is to use Checkers AI and machine integration with a camera where the robot will compete with humans, the camera will detect it from the game board, and then with the learning process from AI, the robot can determine where to move the pieces and it is hoped that the motor will move according to the AI output command of the Checkers Robot. After tha,t the robot will return to its original position and wait for its turn.

Try Dam: Digital Checkers Game Application Based on Machine Learning

A traditional game like checker or dam is often played by people in the past during their free time. Despite their leisurely and compelling activities, the games stimulate the cognitive, social and emotional well-being of players, to plan the right strategy to win the game. However, moving along with the difference in time, traditional games that used to be often played by all sections of society are increasingly being marginalized by the younger generation. Due to the development of technology, the younger generation appears to be more inclined to play mobile games than traditional ones. The proposed solution to this problem is to create a traditional game in digital form; and this paper aims to develop a digital checkers game application using machine learning and to test the functionality and effectiveness of the game. The development of this digital checkers game applies agile model, combined with game design strategy. The Alpha-Beta Pruning algorithm will be used to produce a computer capable of playing checkers. Based on the game competition result, the player's winning rate decreases along with the chosen difficulty level. Once the difficulty level increase, players need to demonstrate their mastery to play against computer. The computer has gained increased information to defeat the opponent using various strategies using "alpha-beta pruning" technique. This digital checkers game is expected to increase awareness and passion among generation young towards the local traditional games. Expected game play experience from the application include entertainment and easy access especially using smart telephone device.

The Whiteness of the White

The Whiteness of the White

Deep Learning and the Game of Checkers

In this paper we present an approach which given only a set of rules is able to learn to play the game of Checkers. We utilize neural networks and reinforced learning combined with Monte Carlo Tree Search and alpha-beta pruning. Any human influence or knowledge is removed by generating needed data, for training neural network, using self-play. After a certain number of finished games, we initialize the training and transfer better neural network version to next iteration. We compare different obtained versions of neural networks and their progress in playing the game of Checkers. Every new version of neural network represented a better player.

Design of Checkers Game Using Alpha-Beta Pruning Algorithm

Checkers is a board game that is played by two people which has a purpose to defeat the opponent by eating all the opponent's pieces or making the opponent unable to make a move. The sophistication of technology at this modern time makes the checkers game can be used on a computer even with a smartphone. The application of artificial intelligence in checkers games makes the game playable anywhere and anytime. Alpha Beta Pruning is an optimization technique from the Minimax Algorithm that can reduce the number of branch/node extensions to get better and faster step search results. In this study, a checkers game based on artificial intelligence will be developed using the alpha-beta pruning method. This research is expected to explain in detail how artificial intelligence works in a game. Alpha-beta pruning was chosen because it can search for the best steps quickly and precisely. This study tested 10 respondents to play this game. The results show that the player's win rate was 60% at the easy level, 40% at the medium level, and 20% at the hard level. Besides that, the level of interest in this game was 80% being entertained and 20% feeling ordinary.

Libya, the United States and Russia in the Never-Ending Game of Checkers

Libya, the United States and Russia in the Never-Ending Game of Checkers

Interactive Robot for Playing Russian Checkers

Human–robot interaction in board games is a rapidly developing field of robotics. This paper presents a robot capable of playing Russian checkers designed for entertaining, training, and research purposes. Its control program is based on a novel unsupervised self-learning algorithm inspired by AlphaZero and represents the first successful attempt of using this approach in the checkers game. The main engineering challenge in mechanics is to develop a board state acquisition system non-sensitive to lighting conditions, which is achieved by rejecting computer vision and utilizing magnetic sensors instead. An original robot face is designed to endow the robot an ability to express its attributed emotional state. Testing the robot at open-air multiday exhibitions shows the robustness of the design to difficult exploitation conditions and the high interest of visitors to the robot.

Study of Artificial Intelligence into Checkers Game using HTML and JavaScript

Artificial Intelligence (AI) in the game industry matures and continues to expand due to its capabilities to explore and exploit in bringing gaming to life. In this paper, we described the game design for the game Checkers, which is developed by using an AI heuristic approach using HTML and JavaScript. A group of people chosen in this study to test the game, which is a validation process to confirm that the game goes as per requirement. The testing activity ends after the final bug fix and the result shows that the game executes properly as expected. The result indicates that the game meets the objective of the system, which is the game, may learn and explore by itself as a heuristic element.

Parallel Computing of PVS Node based GTS Algorithm on GPU

The developments in the field of computer architecture, it allows humans to play games like Chess, Tic-tac-toe, Go, etc. with computer machines using AI technology. In AI, Game tree search (GTS) is an important approach and is directed toward finding the finest choice of move for computer games. Using the traditional GTS algorithm the computer could not win a human. So there is a need for enhancing algorithms using dynamic parallelism of GPU. The block of thread set is organized on GPU is either one or two or three dimensional for parallel computations. On this, each thread designated by an inimitable mixture of indices. In this paper, parallel computing of node-based Principal Variation Search (PVS) GTS algorithm presented, which runs on GPU using libraries of CUDA. this experiment tested on chess games with different depths and results are compared with the threads on CPU and GPU. The results proved that GPU improves the performance of speedup up to 80 percent on the checkers game. Parallel computing greatly increasing the efficient use of CPU and improves the performances of the PVS-GTS algorithm on GPU to search deeper layers and find the optimal moves for the current players for two-player computer games.

Artificial intelligence. Machine learning

Problem. In this paper the problems and risks of introducing the provisions of artificial intelligence (AI) into the civilization of humanity are considered. Also the stages of the development of artificial intelligence from the game of checkers and chess through machine learning to deep learning (from 1950 to the present) are considered. Goal. The aim of the work is to review and evaluate the features of machine learning, including deep learning, since these methods of artificial intelligence most actively develop and most fully characterize it. Methodology . Methods of machine learning with and without a teacher, problems of machine learning and a family of algorithms for solving them are considered. Results. It is shown that the current state of development of artificial intelligence in terms of the number of equivalent to neurons, which is used in this case, corresponds to the level of a mouse. Mankind has several decades left to prepare for the ubiquitous spread of robots with artificial intelligence. The difference between a regular program and machine learning is shown. The analysis of the features of machine learning under various schemes has been carried out. Examples of the learning process of the algorithm, types of machine learning, classification of tasks and algorithms are given. The distinction between the problems and the family of algorithms is shown. Comparison of different machine learning algorithms is presented. The scope of machine learning is defined. Examples of the use of Google’s cloud machine learning services are given. It is concluded that instead of creating a program manually using a special set of commands, the algorithm is prepared using a large amount of data. The examples of the use of artificial intelligence in business processes, such as manufacturing and, in particular, engineering, are provided. Originality . The dangers of introducing artificial intelligence are formulated. The areas of applicability of artificial intelligence and machine learning, health and education, preferred for relative safety reasons, are proposed. Practical value. The attention of specialists is drawn to the features of artificial intelligence, which may be important in various areas of human life and activity. Key words: machine learning; artificial intelligence; Industry 4.0; deep learning, logistics

INTERSUBJECT COOPERATION IN GAME SITUATIONS

The article analyses a problem of empiric data mining related to psychological features of intersubject cooperation. It is specified that the reliable methodological basis of scientific search is an important pre-condition of empiric research efficiency in intersubject co-operation psychology. It is argued that intersubject co- operation must be studied by psychological science as fundamentally different domain from phenomenology of a separate individual. It is justified that exactly in cultural-historical psychology there is the foundation for cognition of consciousness of man, psychical life of man, and thus - and to the world of mutual relations of people, and phenomenon of intersubjetness. It is proven that by means of various concepts and ideas, introduced by L. S. Vygotsky (proximal development zone, interiorization, theory of experiencing, psychology of instruments and signs, correlation of sense and value), we can have deeper understanding of intersubject co-operation as specifically human type of interaction, aimed at development of agency and connections of a person with the world, other people and his/her inner self. Research of intersubject cooperation is described by means of modified checkers game. The main hypothesis of experimental research is that intersubjectly modified variant of checkers will display fundamentally different psychological features of cooperation, related to strategies of collaboration, positive emotional experiencing and taking into account points of view of the other human being. The article proves that intersubject cooperation is a specific modality of interaction, which in a situation of playing activity can be characterized by orientation on the common aim and cooperative strategies. Authors specify, that strategies of collaboration within intersubject gaming cooperation are various enough, from strictly rationalized to highly emotional. The accounting of other person’s position was demonstrated in many behavioral and verbal acts during sessions of intersubject variant of checkers game. To achieve common result participants had to operate coherently, that needed positions of the other participant to be taken into account. Intersubject variant of checkers became a heuristic research model, using which we made a step forward to deeper understanding of psychological essence of agency.

ІНТЕРСУБ’ЄКТНА ВЗАЄМОДІЯ В ІГРОВІЙ СПІЛЬНО-РОЗПОДЕЛІНІЙ ДІЯЛЬНОСТІ

У статті представлений теоретичний аналіз проблеми інтерсуб’єктної взаємодії та результати проведеного пілотажного експериментального дослідження. Моделлю для експерименту стала модифікована гра в шашки: досліджуваних просили після «класичної» гри зіграти по-іншому, так, щоб на ігровій дошці залишилося мінімум шашок. Перевірялися такі гіпотези: 1) інтерсуб’єктна взаємодія є особливою формою організації спільно-розподіленої діяльності, яка характеризується єдиною метою та переважанням стратегії співробітництва; 2) включеність в ігрову інтерсуб’єктну взаємодію, прикладом якої є «інтерсуб’єктні шашки», підвищує рівень радості людини. Після кожної гри і в її класичному, і в інтерсуб’єктному варіантах досліджуваних просили оцінити їх рівень радості по шкалі від 1 до 10, де 10 – максимум. За більшістю показників суб’єктивно оцінюваний рівень радості після інтерсуб’єктного варіанту гри в шашки вищий. Ці дані підтверджуються спостереженням експериментатора за досліджуваними під час різних варіантів гри в шашки. Гіпотези дослідження підтвердилися. Отже, були розширені уявлення про інтерсуб’єктну взаємодію як складноорганізований процес взаємного розвитку суб’єктних якостей учасників.

A Grammatical Approach of Multi-Localization of GUIs: Application to the Multi-Localization of the Checkers Game GUI

By proposing tools that help for the accomplishment of tasks in almost all sectors of activities, computer science has revolutionized the world in a general way. Nowadays, it addresses the peculiarities of peoples through their culture in order to produce increasingly easy-to-use software for end users: This is the aim of software localization. Localizing a software consists among other things, in adapting its GUI according to the end user culture. We propose in this paper a generic approach allowing accomplishing this adaptation, even for multi-user applications like gaming applications, collaborative editors, etc. Techniques of functional interpretations of abstracts structures parameterized by algebras, constitute the formal base of our approach.

Socially grounded game strategy enhances bonding and perceived smartness of a humanoid robot

ABSTRACTIn search for better technological solutions for education, we adapted a principle from economic game theory, namely that giving a help will promote collaboration and eventually long-term relations between a robot and a child. This principle has been shown to be effective in games between humans and between humans and computer agents. We compared the social and cognitive engagement of children when playing checkers game combined with a social strategy against a robot or against a computer. We found that by combining the social and game strategy the children (average age of 8.3 years) had more empathy and social engagement with the robot since the children did not want to necessarily win against it. This finding is promising for using social strategies for the creation of long-term relations between robots and children and making educational tasks more engaging. An additional outcome of the study was the significant difference in the perception of the children about the difficulty of the game – the game with the robot was seen as more challenging and the robot – as a smarter opponent. This finding might be due to the higher perceived or expected intelligence from the robot, or because of the higher complexity of seeing patterns in three-dimensional world.

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With Neil Young playing in the background, a New Zealand woman living in Australia recrosses the ocean over a game of Checkers.

Playing checkers with your mind: an interactive multiplayer hardware game platform for brain-computer interfaces.

In this paper we describe a multiplayer brain-computer interface (BCI) based on the classic game of checkers using steady-state visually evoked potentials (SSVEPs). Previous research in BCI gaming focuses mainly on the production of software-based games using a computer screen--few hardware-based BCI games using a physical board have been developed. Hardware-based games can present a unique set of challenges when compared to software-based games. Depending on where the user is sitting, some stimuli might be farther away from the player, at a steeper viewing angle, conflated with competing stimuli, or occluded by physical barriers. In our game, we light squares on a checkerboard with flickering LEDs to elicit SSVEP responses in the subjects. When a subject attends to a particular square, the resulting SSVEPs are classified and a robot arm moves the selected piece. In a set of pilot experiments we investigated the ability of two subjects to use the SSVEP-based hardware game platform, and assessed how interstimulus distance, interstimulus angle, distance between target stimulus and subject, number of competing stimuli, and visual occlusions of the stimuli influence classification accuracy.

In search of intelligence: evolving a developmental neuron capable of learning

A neuro-inspired multi-chromosomal genotype for a single developmental neuron capable of learning and developing memory is proposed. This genotype is evolved so that the phenotype which changes and develops during an agent's lifetime (while problem-solving) gives the agent the capacity for learning by experience. Seven important processes of signal processing and neural structure development are identified from biology and encoded using Cartesian Genetic Programming. These chromosomes represent the electrical and developmental aspects of dendrites, axonal branches, synapses and the neuron soma. The neural morphology that occurs by running these chromosomes is highly dynamic. The dendritic/axonal branches and synaptic connections form and change in response to situations encountered in the learning task. The approach has been evaluated in the context of maze-solving and the board game of checkers (draughts) demonstrating interesting learning capabilities. The motivation underlying this research is to, ab initio, evolve genotypes that build phenotypes with an ability to learn.