Intelligent Product Brokering Services

2011 ◽  
pp. 527-543
Author(s):  
Sheng-Uei Guan
Keyword(s):  
Genetic Algorithms ◽  
Evaluation Function ◽  
Agent Based ◽  
Evolutionary Ontology ◽  
Intelligent Product

Agent-based system has great potential in the area of m-commerce and a lot of research has been done on making the system intelligent enough to personalize its service for users. In most systems, user-supplied keywords are normally used to generate a profile for each user. In this chapter, a design for an evolutionary ontology-based product-brokering agent for m-commerce applications has been proposed. It uses an evaluation function to represent the user’s preference instead of the usual keyword-based profile. By using genetic algorithms, the agent tries to track the user’s preferences for a particular product by tuning some of the parameters inside this function. A Java-based prototype has been implemented and the results obtained from our experiments look promising.

Intelligent Product Brokering and User Preference Tracking

2004 ◽  
pp. 166-185
Author(s):  
Sheng-Uei Guan ◽  
Chon Seng Ngoo ◽  
Fangming Zhu
Keyword(s):  
Genetic Algorithms ◽  
Potential Application ◽  
User Preference ◽  
Evaluation Function ◽  
Agent Based ◽  
Evolutionary Ontology ◽  
Intelligent Product ◽  
Current Systems

One potential application for agent-based systems has been in the area of m-commerce. In most current systems, user-supplied keywords are normally used to generate a profile for the user. In this chapter, a design for an evolutionary ontology-based product-brokering agent for m-commerce applications is proposed. It uses an evaluation function to represent the user’s preference instead of the usual keyword-based profile. By using genetic algorithms, the agent tries to track the user’s preferences for a particular product by tuning some parameters inside. A prototype was implemented in Java, and the results obtained from our experiments look promising.

scholarly journals Optimization of HAART with genetic algorithms and agent-based models of HIV infection

2007 ◽  
Vol 23 (24) ◽  
pp. 3350-3355 ◽  
Author(s):  
F. Castiglione ◽  
F. Pappalardo ◽  
M. Bernaschi ◽  
S. Motta
Keyword(s):  
Genetic Algorithms ◽  
Hiv Infection ◽  
Agent Based Models ◽  
Agent Based

scholarly journals Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1374
Author(s):  
Juan M. Sánchez ◽  
Juan P. Rodríguez ◽  
Helbert E. Espitia
Keyword(s):  
Artificial Intelligence ◽  
Public Policy ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Agricultural Production ◽  
Public Policies ◽  
Search Process ◽  
Agent Based ◽  
The World ◽  
Decision Making Processes

The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.

Sign in / Sign up

Export Citation Format

Share Document