Dr. What-Info II: An Intelligent Mobile Information Consultation and Sharing Multi-agent System with Universal Application Interfaces Based on Open Data of Taiwan Government

2016 ◽  
Author(s):  
Sheng-Yuan Yang ◽  
Dong-Liang Lee ◽  
Kune-Yao Chen ◽  
Chun-Liang Hsu
Keyword(s):  
Open Data ◽  
Multi Agent System ◽  
Agent System ◽  
Mobile Information ◽  
Multi Agent ◽  
Universal Application

scholarly journals A Cloud Information Monitoring and Recommendation Multi-Agent System with Friendly Interfaces for Tourism

2019 ◽  
Vol 9 (20) ◽  
pp. 4385
Author(s):  
Kune-Yao Chen ◽  
Sheng-Yuan Yang
Keyword(s):  
Recommendation System ◽  
Information Service ◽  
Open Data ◽  
Tourism Industry ◽  
Multi Agent System ◽  
Agent System ◽  
Service Architecture ◽  
Intelligent Decision Making ◽  
Information Monitoring ◽  
Multi Agent

The tourism statistics of Taiwan’s government state that the tourism industry is one of the fastest growing economic sources in the world. Therefore, the demand for a tourism information system with a friendly interface is growing. This research implemented the construction of a cloud information service platform based on numerous practical developments in the Dr. What-Info system (i.e., a master multi-agent system on what the information is), which developed universal application interface (UAI) technology based on the Taiwan government’s open data with the aim of connecting different application programming interfaces (APIs) according to different data formats and intelligence through local GPS location retrieval, in support of three-stage intelligent decision-making and a three-tier address-based UAI technology comparison. This paper further developed a novel citizen-centric multi-agent information monitoring and recommendation system for the tourism sector. The proposed system was experimentally demonstrated as a successful integration of technology, and stands as an innovative piece of work in the literature. Although there is room for improvement in experience and maybe more travel-related agents, the feasibility of the proposed service architecture has been proven.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent
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