Intelligent learning agent for collaborative virtual workspace

Abstract

Purpose

Intelligent agents are becoming an essential part of collaborative virtual environments. The purpose of this paper is to present an architecture of a learning agent that is able to utilize machine learning techniques to monitor the user's actions.

Design/methodology/approach

A learning agent is developed and integrated into federated collaborative virtual workspace.

Findings

The experimental results showed that the combination of genetic algorithms and reinforcement learning algorithms provides the agent with better learning capability resulting in better predictions for the user.

Originality/value

This paper provides experimental results and a performance analysis in terms of accuracy of predictions, processing time, and memory utilization of the agent.

Citation

Shakshuki, E. and Rafey Matin, A. (2010), "Intelligent learning agent for collaborative virtual workspace", International Journal of Pervasive Computing and Communications, Vol. 6 No. 2, pp. 131-162. https://doi.org/10.1108/17427371011066383