Simulation Analysis of Mind Sports Games Based on Artificial Intelligence

2014 ◽  
Vol 989-994 ◽  
pp. 2065-2069 ◽  
Author(s):  
Guo Wen Cui ◽  
Xin Qiang Li
Keyword(s):  
Artificial Intelligence ◽  
Main Part ◽  
Simulation Analysis ◽  
Rapid Development ◽  
Coupling Model ◽  
Human Intelligence ◽  
Reduction Mechanism ◽  
Development Level ◽  
History Of ◽  
Development Mechanism

Mind sports games is rose in recent years, which is the comprehensive sports event taking the chess sports as the main part, and it is a perfect combination of human intelligence and sports art. Due to a simple history of mind sports games, there exists some problems that are the imbalance of development, lack of funds, and event organization difficulty, which has restricted the rapid development of mind sports games. Aiming at the problems of mind sports games encountering in the development, the paper first proposes the coupling development mechanism for the organization of mind sports games and its development mechanism, and then establishes the model of development mechanism based on the coupling reduction mechanism, and the model has been made simulation analysis. At last, the results show that the application of this coupling model can find the bottleneck of the development of mind sports games, so as to open the breakthrough point for its development, and to improve its development level.

Artificial Intelligence

2019 ◽  
pp. 13-22
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

A Brief History

2021 ◽  
pp. 26-56
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Human Intelligence ◽  
Single System ◽  
Cognitive Computing ◽  
Job Functions ◽  
Technology Industry ◽  
History Of ◽  
Time Variables ◽  
System Operating

In this chapter, the author presents a brief history of artificial intelligence (AI) and cognitive computing (CC). They are often interchangeable terms to many people who are not working in the technology industry. Both imply that computers are now responsible for performing job functions that a human used to perform. The two topics are closely aligned; while they are not mutually exclusive, both have distinctive purposes and applications due to their practical, industrial, and commercial appeal as well as their respective challenges amongst academia, engineering, and research communities. To summarise, AI empowers computer systems to be smart (and perhaps smarter than humans). Conversely, CC includes individual technologies that perform specific tasks that facilitate and augment human intelligence. When the benefits of both AI and CC are combined within a single system, operating from the same sets of data and the same real-time variables, they have the potential to enrich humans, society, and our world.

The Relationship of Human Intelligence With Technique/Technology

2021 ◽  
pp. 174-201
Author(s):  
Ali Gurbuz ◽  
Ozge Nilay Erbalaban Gürbüz
Keyword(s):  
Artificial Intelligence ◽  
Transition Period ◽  
Human Intelligence ◽  
Technological Evolution ◽  
Natural Consequence ◽  
Communication Tools ◽  
Technological Tools ◽  
History Of ◽  
Relationship Of ◽  
The Relationship

The history of creating technical/technological tools continues, from the days when man designed the first tools to the days when artificial intelligence was designed. In this adventure, which ranges from the production of the first tools to the development of the method of burning fire, from communication tools to the idea of society as a technical abstraction, from war tools to clocks, machines, automatons, and artificial intelligence, will be analyzed the functions of intelligence philosophically and historically. Today's cybernetic societies, where artificial intelligence is developed, are a natural consequence of the technical/technological evolution of human intelligence. In this transition period, where the creation of artificial intelligence and the anthropological future of the human species are discussed together, the perspectives of philosophical culture that are stuck between artificial and natural dilemmas will be explored. Through analysis of Steven Spielberg's Artificial Intelligence film, the meaning of cyber future perception in culture will be revealed.

scholarly journals PRACTICE OF INFORMATION TECHNOLOGY IN TRANSLATION TEACHING AT CHINESE REGIONAL UNIVERSITIES IN THE ERA OF ARTIFICIAL INTELLIGENCE

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Ma Yan ◽  
Wang Feng
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Teaching And Learning ◽  
Language Teaching ◽  
Rapid Development ◽  
Artificial Intelligent ◽  
Regional Universities ◽  
Artificial Intelligence Technology ◽  
History Of ◽  
Reform And Innovation

<p>With its rapid development in recent years, artificial intelligence has been widely used in all aspects of our life, including language teaching and learning. After a review of the history of artificial intelligence technology and a discussion of the development of artificial intelligent translation at home and abroad, the article summarizes the characteristics of translation teaching at Chinese regional universities in the era of artificial intelligent and puts forward pedagogical suggestions for</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0695/a.php" alt="Hit counter" /></p><p>the reform and innovation in translation teaching.</p>

Artificial Intelligence

2018 ◽  
pp. 98-105
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

scholarly journals The Process of Designing Artificial Intelligence: Development Trends and Prospects

2021 ◽  
Vol 8 (3) ◽  
pp. 84-92
Author(s):  
Eugeniu B. Cozac
Keyword(s):  
Artificial Intelligence ◽  
Systematic Approach ◽  
Rapid Development ◽  
Human Intelligence ◽  
Economic Activities ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Digital World ◽  
Model Training ◽  
Intelligence Development

The relevance of research is due to the rapid development of artificial intelligence. It is an important technology that supports everyday social, technical, and economic activities. Artificial intelligence allows computers to learn from their own experience, adapt to set parameters, and perform tasks that were previously only possible for humans. In this regard, this article is aimed at identifying trends and prospects for the development of artificial intelligence. Another considerable task is to highlight the principles of building artificial intelligence systems. Developing an artificial intelligence system differs from building a conventional system as it requires a systematic approach, big data analysis, and model training. Building an artificial intelligence system − is a detailed process of reverse engineering human traits, capabilities of a machine, and using its computational power to surpass humans' skills. The leading approach to the study of this issue is literature analysis, which makes it possible to comprehensively consider artificial intelligence development. This article includes the modern foundations of artificial intelligence and various representative applications. In the context of the modern digital world, artificial intelligence is the property of machines, computer programmes and systems to perform intellectual and creative human functions, independently find ways to solve issues, be able to draw conclusions and make decisions. The research materials are of practical value for a critical analysis of current artificial intelligence capabilities, reasons why it still cannot achieve human intelligence, and the challenges it faces when achieving and surpassing the level of human intelligence

scholarly journals The Revolutionary Impact of Artificial Intelligence on the Future of the Legal Profession

2021 ◽  
Vol 8 (3) ◽  
pp. 390-402
Author(s):  
J. A. Burt
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Legal Profession ◽  
Early Years ◽  
Law Students ◽  
Human Intelligence ◽  
Daily Lives ◽  
Broad Array ◽  
Artificial Intelligence Technology ◽  
History Of

Two decades into the 21st Century, it is abundantly clear that Artificial Intelligence technology will fundamentally change the legal system as well as the economics of our daily lives. During the early years of AI development, computers successfully surpassed humans only in complex games requiring exceptional intelligence (e.g., chess, Go, Shogi). The legal profession assumed that AI would be unable to master the nuances and ambiguities of language and the skills required of first class lawyers. The recent history of AI advancement proved that assumption wrong. When combined with the new focus of neuroscientists and related disciplines on the study of the human brain, AI stands on the threshold of exceeding human intelligence in the areas which have historically been the exclusive domain of the legal profession. There is currently a broad array of important tools in the AI field which lawyers may use to improve efficiency and profitability, These AI tools are just the beginning. We can also anticipate that AI will necessarily and substantially affect decisions traditionally relegated to the autonomy of individual citizenry as well, with dramatic consequences. This paper attempts to identify the implications of AI technology on the legal profession, the broader society in which it operates, and the challenges confronted by the next generation of lawyers and law students.

A. S. Nikolaev in the Institute of Out-of-School Education and His ‘Museum of Archival Work’ Project

2018 ◽  
pp. 1254-1265
Author(s):  
Vitaly G. Ananiev ◽  
Keyword(s):  
School Education ◽  
Cultural Institutions ◽  
School Teachers ◽  
Development Level ◽  
Formation Stage ◽  
Archival Documents ◽  
History Of ◽  
Archival Work ◽  
Department Faculty ◽  
Out Of School

The article is devoted to the work Alexander S. Nikolaev (1877 – 1934) in the Petrograd Institute of Out-of-School Education in late 1910s – early 1920s. His teaching activities at the Institute and the place of archival issues in the program of its museum department have been studied on the basis of archival documents. The Institute initially focused on training of instructors and employees of cultural institutions, school teachers for adults and universities professors. The Institute had a museum section (department – faculty), on the basis of which several exemplary workshops for creating of manuals and their mastering were to be organized. That is the context in which A. S. Nikolaev’s projects of archival museum creation should be studied. One of such projects worked out by Nikolaev at that time has gone unnoticed until its publication in the Appendix. The connection of this project with the development level of museum affairs of the period is shown. Nikolaev's aspiration to show evolution of archiving and to follow fond formation stage by stage and his use of photographic and graphic materials are also noted. Moreover, it is the first assessment of the work of the Institute as one of the centers for teaching archiving in late 1910s – early 1920s.Training at the museum department of the Institute included a number of courses in both archiving and preservation of documentary monuments. This was due not only to the traditional proximity of archiving and museum work, but also to the circumstances of the first post-revolutionary years. Many museums (located in palaces and mansions of nobility) acquired valuable archival collections. They looked for an opportunity to use these in their scientific activities and exhibitions. The latter was due to the emphasis put on history of daily life and introduction of sociological method in museum work.

Intelligence, Artificial and Otherwise

2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel
Keyword(s):  
Artificial Intelligence ◽  
Human Intelligence

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.

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