As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Work related stress affects people from all professions and is a growing concern because it is reported as a common cause of occupational illness. Work stress can be prevented if it is identified; measured and appropriate changes are made to the work environment. Intelligent agent technology to solve both simple and complex problems has been used in many applications but this technology has not been applied in psychology. These agents provide better management of complex systems or processes as the level of abstraction is much higher and the programming problems focus on specifying an agent’s behaviour and communication with other agents. In this paper, we present a novel approach of using Multi-Agent System (MAS) to effectively maintain, analyse and update work-stress related data. The MAS part of Intelligent Multi-Agent Decision Analyser (IMADA) has been integrated with the existing Intelligent Agent Framework (IAF) model that has been developed in conjunction with the StressCafé using the Australian Workplace Barometer (AWB) tool. The intelligent decision analyser Decision Analyser (DA) will be developed using a hybridized algorithm that uses neural network and fuzzy logic.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.