Integration of artificial intelligence methodologies and algorithms into the civil engineering curriculum using knowledge-based expert systems: A case study

2017 ◽  
Vol 2017 (1) ◽  
Author(s):  
Yachi Wanyan ◽  
Xuemin Chen ◽  
David Olowokere
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Civil Engineering ◽  
Engineering Curriculum ◽  
Knowledge Based

scholarly journals Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms

2021 ◽  
Vol 18 (23) ◽  
pp. 12682
Author(s):  
Tara Qian Sun
Keyword(s):  
Artificial Intelligence ◽  
Social Power ◽  
Learning Algorithm ◽  
Public Healthcare ◽  
Power Structures ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Knowledge Based ◽  
Power Pattern

Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is important to understand the factors influencing its adoption. Using a qualitative multi-case study of three hospitals in China, we explored the research of factors affecting AI adoption from a social power perspective with consideration of the learning algorithm abilities of AI systems. Data were collected through semi-structured interviews, participative observations, and document analysis, and analyzed using NVivo 11. We classified six social powers into knowledge-based and non-knowledge-based power structures, revealing a social power pattern related to the learning algorithm ability of AI.

ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF CULTUROLOGICAL DIMENSION

2020 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
D. A. Funtova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Philosophy Of Mind ◽  
Subjective Experience ◽  
Modern Science ◽  
Human Mind ◽  
Scientific Data ◽  
Knowledge Based ◽  
The Individual ◽  
The Brain

High technologies have stimulated a rapidly growing knowledge-based paradigm. Therewith particular sciences seem to have separated from each other. Respectively, it brought to a certain misunderstanding about knowledge being differently directed and unreliable. Take, for instance, artificial intelligence, which is often discussed today by science and mass media. This phenomenon serves as a good example of a knowledge-based paradigm in action: it combines chemistry, computer science, engineering, linguistics, medicine, physics, philosophy and psychology. Culturology, as the broadest of the sciences, allows to comprehend artificial intelligence and opportunities it grants. Theoretically, a complete decoding of the brain cognitive processes will allow to predict the actions of the individual, to imitate and prototype him, as well as to create a model of artificial intelligence based on human intelligence. However, the modern science has not yet produced the method of such a decoding. The article considers the key differences between artificial intelligence and the human mind in accordance with relevant scientific data. The philosophy of mind and sensual subjective experience (qualia) are discussed, with the latter’s impact on culture and on individual’s life (a case study of the author’s experience of smell loss and its transformation) being analyzed. The article specifies how artificial intelligence shapes the axiological dimension of culture.

A survey of French developments in knowledge-based systems

1987 ◽  
Vol 2 (4) ◽  
pp. 287-295
Author(s):  
Jean-Claude Rault
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Computer Applications ◽  
Computer Architectures ◽  
Software Components ◽  
Industrialized Countries ◽  
Public Announcement ◽  
Knowledge Based ◽  
Fifth Generation ◽  
Industrial Communications

AbstractLike other industrialized countries, France is currently enjoying a vogue for artificial intelligence and, generally, for hardware and software components and structures which will be needed for the design and implementation of the computer applications of the 1990s.Since public announcement of MITI's Fifth Generation Project in October 1981, the French scientific and industrial communications have exhibited increasing enthusiasm for AI languages, expert systems, man-computer interaction, novel computer architectures, and knowledge-based computer systems as a whole. The choice of the Prolog language for the Japanese project has stimulated many French industrialists to be aware of the existence of a basic AI tool designed mainly in France.In spite of the present fashion, often maintained by the journalistic milieu, it would be inaccurate to say that the French fifth generation project goes back to the Japanese announcement. The MITI project has certainly been a catalyst of ministerial and industrial awareness, but the bulk of ongoing projects stem from earlier work most often funded by government agencies.In spite of the current thrust in AI and the centralizing habit in France, a “flagship” AI project cannot be identified. French Research and Development initiatives in artificial intelligence in general, and expert systems in particular, correspond more to a set of distinct projects. These frequently complement each other in technical scope and in their scientific and industrial objectives.

USING EXPERT SYSTEMS FOR IMAGE UNDERSTANDING

1987 ◽  
Vol 01 (02) ◽  
pp. 237-250 ◽  
Author(s):  
P. SUETENS ◽  
A. OOSTERLINCK
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Review Paper ◽  
Image Understanding ◽  
Interested Reader ◽  
Knowledge Based ◽  
Survey Papers ◽  
Application Fields

Expert systems and image understanding have traditionally been considered as two separate application fields of artificial intelligence (AI). In this paper it is shown, however, that the idea of building an expert system for image understanding may be fruitful. Although this paper may serve as a framework for situating existing works on knowledge-based vision, it is not a review paper. The interested reader will therefore be referred to some recommended survey papers in the literature.

scholarly journals Artificial Intelligence in Civil Engineering

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Pengzhen Lu ◽  
Shengyong Chen ◽  
Yujun Zheng
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Systems ◽  
Firefly Algorithm ◽  
Civil Engineering ◽  
Complex Structure ◽  
Cuckoo Search ◽  
Research Trends ◽  
Main Research ◽  
Knowledge Based ◽  
Intelligent Computer

Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks, fuzzy systems, expert system, reasoning, classification, and learning, as well as others like chaos theory, cuckoo search, firefly algorithm, knowledge-based engineering, and simulated annealing. The main research trends are also pointed out in the end. The paper provides an overview of the advances of artificial intelligence applied in civil engineering.

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