Artificial Intelligence in Theory and Practice

2006 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Theory And Practice

scholarly journals Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study

10.2196/15511 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e15511 ◽  
Author(s):  
Bach Xuan Tran ◽  
Son Nghiem ◽  
Oz Sahin ◽  
Tuan Manh Vu ◽  
Giang Hai Ha ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Precision Medicine ◽  
Data Science ◽  
Latent Dirichlet Allocation ◽  
Developed Countries ◽  
Theory And Practice ◽  
Clinical Practices ◽  
Research Topics ◽  
Dirichlet Allocation

Background Artificial intelligence (AI)–based technologies develop rapidly and have myriad applications in medicine and health care. However, there is a lack of comprehensive reporting on the productivity, workflow, topics, and research landscape of AI in this field. Objective This study aimed to evaluate the global development of scientific publications and constructed interdisciplinary research topics on the theory and practice of AI in medicine from 1977 to 2018. Methods We obtained bibliographic data and abstract contents of publications published between 1977 and 2018 from the Web of Science database. A total of 27,451 eligible articles were analyzed. Research topics were classified by latent Dirichlet allocation, and principal component analysis was used to identify the construct of the research landscape. Results The applications of AI have mainly impacted clinical settings (enhanced prognosis and diagnosis, robot-assisted surgery, and rehabilitation), data science and precision medicine (collecting individual data for precision medicine), and policy making (raising ethical and legal issues, especially regarding privacy and confidentiality of data). However, AI applications have not been commonly used in resource-poor settings due to the limit in infrastructure and human resources. Conclusions The application of AI in medicine has grown rapidly and focuses on three leading platforms: clinical practices, clinical material, and policies. AI might be one of the methods to narrow down the inequality in health care and medicine between developing and developed countries. Technology transfer and support from developed countries are essential measures for the advancement of AI application in health care in developing countries.

Intelligent agents: theory and practice

1995 ◽  
Vol 10 (2) ◽  
pp. 115-152 ◽  
Author(s):  
Michael Wooldridge ◽  
Nicholas R. Jennings
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Short Review ◽  
Theory And Practice ◽  
Agent Technology ◽  
Software Systems ◽  
Agent Architectures ◽  
Agent Theory ◽  
Potential Applications ◽  
Engineering Models

AbstractThe concept of anagenthas become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary).Agent theoryis concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents.Agent architecturescan be thought of as software engineering models of agents; researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally,agent languagesare software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper isnotintended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.

Selected Papers from TAAI 2006

2008 ◽  
Vol 12 (3) ◽  
pp. 217-217
Author(s):  
Hsin-Chang Yang ◽  
Wen-Yang Lin ◽  
Chun-Yang Chang ◽  
Cheng-Hong Yang ◽  
Shyi-Ming Chen
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Theory And Practice ◽  
Annual Conference ◽  
Valuable Resource ◽  
Special Issue ◽  
High Quality ◽  
Swarm Optimization ◽  
Music Retrieval

The 11th Conference on Artificial Intelligence and Applications (TAAI 2006), which was held during Dec. 15-16, 2006 at Kaohsiung, Taiwan, is the annual conference of Taiwanese Association for Artificial Intelligence. The conference is intended to provide a forum for researchers and scholars in the related fields of artificial intelligence. Past conferences have proven them successful attempts to become the most important meeting of artificial intelligence researchers in Taiwan. This is also true for TAAI 2006, which focuses on various aspects on theory and practice of artificial intelligence. In this special issue, 11 papers presented in the conference are selected and extended for their outstanding performance on the conference. These papers cover wide spreading aspects, which include versatile motion planning, particle swarm optimization, data mining, image retrieval, music retrieval, natural language processing, navigation, fuzzy logic, gaming, and bioinformatics. This issue thus concisely summarizes recent advances in artificial intelligence and its applications. The readers should find them valuable and inspiring. We hope that this issue should provide a valuable resource for their researches. As guest editors of this special issue, we like to express our greatest gratitude to those that help this issue come true. Thanks to all contributors and referees for their elaborate works and careful reviews that assure the high quality of this issue. Special thanks should go to Mr. Makoto Shimada of Fuji Technology Press for his efforts and kind assistance in publishing this issue. Finally, we also like to thank the Editors in Chief of JACIII, Prof. Toshio Fukuda and Prof. Kaoru Hirota, for their generous hospitality in supporting this special issue.

scholarly journals Theory and practice of constructive solutions technological justification for railway objects via the use of an expert system

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Technological Process ◽  
Theory And Practice ◽  
Railway Track ◽  
Production Model ◽  
Automated Systems ◽  
Technological Processes ◽  
Railway Construction ◽  
Design Solutions

In this article, we present the abstract theorem and the feasibility for the implementation of the technological justification of the structural concept for track railway line objects using the expert system. Railway construction as a complex dynamic system requires certain resources for maintaining it. At the same time, it is characterized by the use of new, more advanced design solutions, materials, and technologies, the performers’ specialization development, and the attendant large number of participants in the technological process. Key role in these conditions gets effective standard operating procedures control, procedures that performed during the railway facilities construction. This can be achieved by improving the existing engineering and technical support system for railway construction by introducing an engineering and intellectual support subsystem for the technological processes of railway facilities construction. One of the tasks of technological processes engineering and intellectual support is the effective use of automated systems with artificial intelligence elements. Creation and implementation of automated systems with artificial intelligence elements are focused on achieving a single final result: a finished railway track facility of the corresponding functional purpose within the established deadlines planned prime cost and labor contribution and also up to date safety requirements throughout the entire operation period. Within the scope of the methodology formation for engineering and intellectual support of railway construction technological processes, the stages of constructive solutions technological substantiation for railway objects were considered, and the railway construction technological features were determined. The procedure for the railway track object decomposition into structural elements is described here. The results obtained at the decomposition stage made it possible to determine the possibilities of using expert systems to develop a technological process for the railway track object construction. With account taken of special factors relating to formalization series of tasks at hand. By the aid of the expert system, which was built based on the knowledge representation production model, was developed and described methodology for generating a construction works nomenclature. Based on theoretical research results, practical aspects of the technological substantiation implementation of design solutions using an expert system were presented here through the example of the railway roadbed flooded carn construction. During dissertation research done by the author, were obtained results that were presented in this article.

scholarly journals AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead

AI Magazine ◽  
2010 ◽  
Vol 31 (3) ◽  
pp. 103 ◽  
Author(s):  
Eric Horvitz ◽  
Lise Getoor ◽  
Carlos Guestrin ◽  
James Hendler ◽  
Joseph Konstan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Theory And Practice ◽  
Challenges And Opportunities ◽  
Or Practice ◽  
Research Faculty

The Microsoft Research Faculty Summit brought together eight experts in different areas of AI to share their thoughts about the key challenges ahead in theory and/or practice in the broad constellation of artificial intelligence.  This article summarizes their conversation.

scholarly journals Introduction to the special issue on the 25th annual GULP conference

2012 ◽  
Vol 13 (2) ◽  
pp. 147-148
Author(s):  
WOLFGANG FABER ◽  
NICOLA LEONE
Keyword(s):  
Artificial Intelligence ◽  
Logic Programming ◽  
Theory And Practice ◽  
Declarative Programming ◽  
Annual Conference ◽  
User Group ◽  
Historical Account ◽  
Computational Logic ◽  
Special Issue ◽  
One Year

This special issue of TPLP commemorates the 25th edition of the annual conference organized by GULP (Gruppo Ricercatori e Utenti Logic Programming), the Italian group of researchers and users of logic programming. The first event in this series was held at Genoa in 1986, one year after the foundation of the user group, continuing annually ever since. In 1994, the conference joined forces with the Spanish conference PRODE (on Declarative Programming), and in 1996 with the Portuguese APPIA (on Artificial Intelligence). This collaboration continued until 2003. Starting from 2004, the event became known as CILC (Convegno Italiano di Logica Computazionale, Italian Conference on Computational Logic), thereby broadening its topics to general computational logic, while becoming a national Italian event again. Being one of the oldest and largest national events of its kind, over the years the conference has been an important networking opportunity and catalyst for persons with different backgrounds, coming from theory and practice, and from research and industry, for exchanging their visions, achievements, and challenges in logic programming. For a more detailed historical account on GULP and its annual conferences, we refer to Rossi (2010).

scholarly journals Explore and Practice of China's Intelligent “New Engineering” — Based on the Grounded Theory

2020 ◽  
Vol 10 (8) ◽  
pp. 632-640
Author(s):  
Jingyi Qin ◽  
◽  
Hua Li ◽  
Xiu Chen ◽  
Wen Feng
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Grounded Theory ◽  
Internet Of Things ◽  
Theory And Practice ◽  
The Internet ◽  
Research And Practice ◽  
Engineering Research ◽  
Cooperation System ◽  
The Internet Of Things

In the era of the Industrial Revolution 4.0, emerging intelligent information technologies represented by the Internet of Things, big data, artificial intelligence, etc. are triggering a new round of educational reforms, driving human education to transition to intelligent education. This article adopts the 612 national-level new engineering research and practice projects released by China in 2018 that involve the integration of new engineering and wisdom education in universities and colleges that also implement the integration of the two in addition to the New Engineering Research and Practice Project，A total of 80 colleges and universities practice samples as research objects，With the help of the grounded theory system, a fusion model consisting of 755 original sentences, 77 concepts, 25categories, 7main categories, and 3 core categories-the TCG model. Its integration path is: Block chain: more open and more credible new ideas; Internet + education: the construction of a curriculum system that combines theory and practice with individuality and multiple coexistence; emotional skills perception + cloud computing: intelligent new teachers Strength training; AI + VR: construction of an open and immersive second learning world; big data + the Internet of Things: the establishment of a precise and intelligent management system; big data + artificial intelligence: the construction of a new mechanism of evaluation and incentives; the Internet of Things + none Seamless Interconnection: Comprehensive Perception of Government-Industry-Research Cooperation System.

scholarly journals EFFECTS OF ARTIFICIAL INTELLIGENCE ON HUMAN RESOURCES MANAGEMENT A STUDY OF IT SECTOR IN PAKISTAN

2021 ◽  
Vol 1 (1) ◽  
pp. 61-77
Author(s):  
Khushnooda Tahira
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Human Resources Management ◽  
Numerical Data ◽  
Modern Technology ◽  
Theory And Practice ◽  
Modern World ◽  
Unique Contribution ◽  
Resources Management ◽  
The Given

Purpose: The study examined effects of artificial intelligence on human resources management a study of it sector in Pakistan Methodology: The tool used for the purpose of gathering the data for this thesis was a questionnaire The content of the questionnaire had to be necessarily validated by a PhD professor .In order to fulfill the need of the research of finding out the relationship, which might exist between the given dependent and independent variables, correlation analysis was conducted using SPSS.. The research was also based upon facts and arguments based on the non-numerical data which is gathered through different articles. The respondents chosen for filling the research questionnaire were selected from the top ranking IT companies of Pakistan because of the fact that these companies, some of them being multi-national, would have the understanding of the modern challenges related to technology and the complexities of the recruitment. Result: Technology is the main focus of the whole world today. Companies who wish to survive in the modern industry must make their recruitment processes digitized by incorporating the modern technology so that not only the processes can be made faster but also their performance can be made better. Unique contribution to theory and practice: Artificial intelligence is the result of the modern world of complexities and new technological advancements which have allowed new entrant to enter new markets anytime. The biggest challenge of artificial intelligence is that it has made everything quick. Recruiters want to be catered quickly for this purpose, companies ought to have highly responsive HR system so that the hiring is on time

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