Application of Neurological Networks in an AI for Chess Game

Author(s):  
Vinay Kumar ◽  
Divya Singh ◽  
Garima Bhardwaj ◽  
Ayush Bhatia
Keyword(s):  
2021 ◽  
Author(s):  
Tania HIDALGO ◽  
Rosana Simón-Vázquez ◽  
africa González-Fernández ◽  
Patricia Horcajada

Human body is continuously in a never-ending chess game against pathogens. When the immune system, our natural defense tool, is weakened, these organisms are able to escape, collapsing the body...


2011 ◽  
Vol 7 (4) ◽  
pp. 123 ◽  
Author(s):  
David L. Turnipseed ◽  
O. Maxie Burns ◽  
Frank J. Hodges

The topic of human attitudes about computers has been dealt with extensively in both the academic and popular literature, but it remains an issue of importance. The continued relevance was well illustrated by the Soviet chess grandmaster, Karpov, who recently remarked that he was not afraid to lose a chess game to a computer, but that people who worked with such computers could lose their soul to the machines (Hooper, 1990). The beliefs which people hold toward computers will affect their computer interaction and their willingness to adapt to automated systems: therefore the issue is of great practical importance. This paper reports on a replication of an early IBM study with the intent of assessing contemporary attitudes towards computers and the changes in attitudes over the last 25 years.


Author(s):  
Vasileios Balafas ◽  
Efstathios T. Fakiolas

As the global energy demand has been growing, the balance of the international system seems to shudder. Energy issues have become pivotal for national strategy. For example, Russia is challenging US primacy by using its energy resources, the US is trying to become an oil and gas net exporter, and China is striving to ensure influence in rich natural resources territories to secure energy supplies for its development. The authors argue that energy issues have set up a new chessboard of power on which countries improve their status, no matter whether they are energy importers or exporters. Such countries as Greece, Cyprus, Turkey, and Egypt are pursuing, without being major energy producers, to brand themselves as ideal regional “energy hubs” to serve national interest. Self-branding is not only a matter of declaration. It is primarily a matter of the energy major players recognizing this branding. It is this recognition that is the decisive moment that the countries concerned tip over the energy chess game by turning their aspirations into something more than an energy supply issue.


Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1154 ◽  
Author(s):  
Cristian del Toro ◽  
Carlos Robles-Algarín ◽  
Omar Rodríguez-Álvarez

This paper presents the design and construction of a robotic arm that plays chess against a human opponent, based on an artificial vision system. The mechanical design was an adaptation of the robotic arm proposed by the rapid prototyping laboratory FabLab RUC (Fabrication Laboratory of the University of Roskilde). Using the software Solidworks, a gripper with 4 joints was designed. An artificial vision system was developed for detecting the corners of the squares on a chessboard and performing image segmentation. Then, an image recognition model was trained using convolutional neural networks to detect the movements of pieces on the board. An image-based visual servoing system was designed using the Kanade–Lucas–Tomasi method, in order to locate the manipulator. Additionally, an Arduino development board was programmed to control and receive information from the robotic arm using Gcode commands. Results show that with the Stockfish chess game engine, the system is able to make game decisions and manipulate the pieces on the board. In this way, it was possible to implement a didactic robotic arm as a relevant application in data processing and decision-making for programmable automatons.


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