The Application of Agent Technique in E-Commerce

2010 ◽  
Vol 44-47 ◽  
pp. 3752-3756
Author(s):  
Hai Bin Zhang ◽  
Fang Yang Zhu ◽  
Nian Zhu
Keyword(s):  
Artificial Intelligence ◽  
Distributed Computing ◽  
Potential Field ◽  
Product Information ◽  
New Technology ◽  
Agent Technology ◽  
Network Technology ◽  
Advanced Stage ◽  
Complete Development ◽  
Artificial Intelligence Technology

As one of the most potential field in today’s society, E-Commerce is coruscating vigorous vitality. Development of the information and network technology provide possibility for some new technology in e-commerce application, the application of new technology will also promote e-commerce to a higher level, Agent technology is one of the new technology, it is a product with the complete development of distributed computing and artificial intelligence technology, it has the advantage of autonomy and initiative and provide structure fundament for advanced stage of e-commerce activities. The Agent technique made users on longer lost in the changing product information. Enterprise can provide personalized service vary from person to person when they faced a lot of users and fundamentally improved problems in e-commerce. It will promote the development of e-commerce.

scholarly journals A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Radiation Oncology ◽  
Online Survey ◽  
New Technology ◽  
Medical Liability ◽  
Healthcare Outcomes ◽  
Medical Workforce ◽  
Artificial Intelligence Technology ◽  
Workforce Needs

AbstractArtificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June–August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.

Artificial Intelligence as Driver for SME Competitiveness

2021 ◽  
pp. 108-125
Author(s):  
Nicola Del Sarto ◽  
Andrea Piccaluga
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
New Technology ◽  
Four Dimensions ◽  
Artificial Intelligence Technology ◽  
Key Features ◽  
The Way

Artificial intelligence is profoundly changing the way in which companies compete and do business. In particular, artificial intelligence can represent a very interesting opportunity for small and medium-sized enterprises, which are constantly looking for new technologies to be able to remain competitive in a turbulent market. However, research exploring how SMEs may successfully adopt artificial intelligence technology are missing. To address this gap, the authors reviewed the literature on artificial intelligence and identified four key features that SMEs need to consider when implementing this technology represented by people, processes, products, and customers. After that they described four cases of Italian SMEs which have adopted successfully this new technology taking into account one of the four dimensions. The study contributes to the literature on artificial intelligence and SMEs and may be helpful for managers who want to adopt this technology within their company.

Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment

2022 ◽  
pp. 197140092110674
Author(s):  
Nick M Murray ◽  
Phillip Phan ◽  
Greg Hager ◽  
Andrew Menard ◽  
David Chin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Rapid Change ◽  
Value Added ◽  
Stroke Care ◽  
Case Scenario ◽  
Intelligence System ◽  
Insurance Reimbursement ◽  
First Case ◽  
Artificial Intelligence Technology

The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and Medicaid Services (CMS) granted approval for a New Technology Add-on Payment (NTAP). Key aspects of the AI system that led to its approval by the CMS included its unique mechanism of action, use of robotic process automation, and clear linkage of the system’s output to clinical outcomes. The specific strategies employed encompass a first-case scenario of proving reimbursable value for improved stroke outcomes using AI. Given the rapid change in utilization of AI technology in stroke care, we describe the economic drivers of stroke AI systems in healthcare, focusing on concepts of reimbursement for value added by AI to the stroke care system. This report reviews (1) the successful approach used by the first NTAP-approved AI system, (2) economic variables in insurance reimbursement for AI, and (3) resultant strategies that may be utilized to facilitate qualification for NTAP reimbursement, which may be adopted by other AI systems used in stroke care.

English Auction Issues in Mobile E-Commerce

2013 ◽  
pp. 208-223
Author(s):  
Nandini Sidnal ◽  
Sunilkumar S. Manvi
Keyword(s):  
Artificial Intelligence ◽  
Distributed Computing ◽  
Dominant Role ◽  
Agent Technology ◽  
Major Focus ◽  
Internet Commerce ◽  
English Auctions ◽  
English Auction ◽  
Cognitive Agents ◽  
Near Future

Recently, agent technology is playing a dominant role in the field of artificial intelligence (AI), distributed computing, and Internet commerce. Agents are set to represent on behalf of customers and vendors in m-commerce to resolve the various issues in the near future. This chapter presents the various issues in m-commerce including issues in English auctions as the major focus that needs to be tackled to make m-commerce successful in the coming years. It provides solutions to some of the challenges by employing cognitive agents. It also presents architectures, techniques, and surveys of the auctioning process in mobile e-commerce.

scholarly journals Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Shengzhe Liang
Keyword(s):  
Artificial Intelligence ◽  
Network Structure ◽  
Optical Network ◽  
The Self ◽  
Network Technology ◽  
Cognitive Network ◽  
Intelligence Level ◽  
Artificial Intelligence Technology ◽  
Network Intelligence

Cognitive optical network is the intermediate to combine artificial intelligence technology with network, and also the important network technology to promote network intelligence level constantly. In the paper, it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network, and explores its self-governance functions, so as to better realize the self-optimization and self-configuration of network.

Optimal system design of language training strategy based on artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Jianling Guo ◽  
Jia Liu
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Foreign Students ◽  
Chinese Culture ◽  
New Technologies ◽  
New Technology ◽  
Rapid Development ◽  
Chinese Students ◽  
Training Strategy ◽  
Artificial Intelligence Technology

With the rapid development of China’s economy and the rapid increase in the number of Chinese learners in recent years, Chinese fever has become a common phenomenon in the global language exchange system. However, in the absence of foreign Chinese teachers at present, the development of Chinese new technology, this document uses the new computer technology to establish a Chinese teaching platform. The system is based on speech recognition technology to help foreigners learn spoken language, manuscript recognition technology and Chinese letters. foreign students in artificial intelligence technology, simulation of Chinese foreign education and training. The establishment of this system will not only help foreign students to solve the problem of Chinese learning successfully, but also make important contributions to the learning of Chinese students. Some new technologies, such as speech recognition, will be recognized by more and more Chinese students with the development of new technologies and the renewal of the system, and will make the greatest contribution to the promotion of Chinese culture.

scholarly journals Design of Higher Education System Based on Artificial Intelligence Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Li ◽  
Jiye Li ◽  
Yazhi Yang ◽  
Zhaoxu Ren
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Data Mining ◽  
Education System ◽  
Agent Technology ◽  
Running Speed ◽  
Teaching Mode ◽  
Teaching System ◽  
Higher Education System ◽  
Artificial Intelligence Technology

In order to solve the problems of low security and response efficiency and slow running speed of the current designed higher education system, a higher education system based on artificial intelligence technology is designed. Firstly, according to the characteristics of artificial intelligence technology, intelligent teaching system, agent technology, and data mining technology are introduced in detail. Then it analyzes the overall and detailed functional requirements of the system and adaptively generates knowledge content and teaching mode suitable for students’ ability and personality by using intelligent reasoning ability and the collection and analysis of students’ personality characteristics. Through data mining of intelligent teaching system, the decision tree about curriculum is obtained, and the students’ cognitive ability is calculated. Based on the theory of cognitive science, using the “double master” teaching mode, combined with agent technology and intelligent teaching system, the system function is divided into six modules. Through the design of database structure and data table, the design of higher education system based on artificial intelligence technology is realized. The experimental results show that the proposed method has high security and response efficiency, fast running speed, and good teaching effect.

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