Deadlock detection in agent-based virtual knowledge communities
Journal Title: Annals. Computer Science Series - Year 2010, Vol 8, Issue 2
Abstract
In attempt to develop an intelligent agent based model for deadlock detection in Virtual Knowledge Communities (VKC), shadow and detector agents were used to facilitate the detection process in the design. A mathematical model based on the design for deadlock detection and resolution in multi-agent communities was developed. The prototype implementation was carried out using Java platform technology. Experimental result is satisfactory in addressing the issue of deadlock problems in knowledge sharing in agent-based VKC.
Authors and Affiliations
Ogunleye Gabriel Opeyemi, O. S. Adewale, A. O. Adetunmbi, B. K. Alese, A. O. Ogunde
Keywords
Related Articles
- EP ID EP102855
- DOI -
- Views 168
- Downloads 0
A Hybrid Neural Network Controller for Stable Walking of a Humanoid Soccer Robot
This paper describes the hardware and software design of the kid size humanoid robot systems of the PERSIA Team in 2009. This year, our developments for the humanoid robot is include: the design and construction of our n...
How many interchanges does the selection sort make for iid geometric(p) input?
The note derives an expression for the number of interchanges made by selection sort when the sorting elements are iid variates from geometric distribution. Empirical results reveal we can work with a simpler model compa...
PIFA: Designing a Personalized Information Filtering Algorithm for Knowledge Management Systems
A study on the concept of “personalized information filtering” system was carried out. Natural Language Processing (NLP) was used to tag the words, and metrics such as TF-IDF was used to weigh each term in the document....
Variance Components of Models of Sudoku Square Design
This study aimed at obtaining variance component estimators for all effects of Sudoku square models. The analysis of variance (ANOVA) method was used for the derivation of the variance components for the four Sudoku mode...
Prior Specification in Bayesian Model Averaging: An application to Economic Growth
Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. Bayesian model averaging has become an important tool in empirical settings with large n...