An Ontology Driven, Procedural Reasoning System-Like Agent Model, For Multi-Agent Based Mobile Workforce Brokering Systems

Abstract

Problem statement: It has been proven that Believe, Desire, Intention (BDI) agent architecture, performs suitably in dynamic and unpredictable environments. Although BDI architecture has been formulated rigorously, implementing BDI architecture is not as straightforward as it has been promised. Nevertheless, the preeminent implementation of BDI architecture is Procedural Reasoning System (PRS) and Jadex is a Java-based platform that successfully applies PRS BDI architecture to implement BDI agents. However, Jadex utilizes XML format to represent plans, beliefs and goals which are the core of the PRS BDI agents. Although XML is a suitable format for exchanging data, it does not add any semantic to the data that it represents. Approach: In contrast, in our proposed Ontology driven PRS like model (O-PRS), we used Ontology with OWL format to represent Believes, Plans and Events. Our Ontology had been designed particularly for implementing BDI agents which are used in Mobile Workforce Brokering Systems (MWBS), a multi-agent system that automated the process of allocating tasks to Mobile Workforces. Results: This research was an endeavor to equip the PRS model with Ontology and semantic knowledge representation and reasoning capability. In this study firstly, our proposed model was formulated, then the model was been examined using a simulation tool (MWBS-SIM) which simulated MWBS in its Initialization phase. We used JADE to implement the Agents, Protégé OWL to create the Ontology and Jena as a semantic web platform by means of which MWBS is able to connect to the Ontology and apply the O-PRS model. Conclusion: The result of our simulation showed that O-PRS is a feasible approach. Furthermore, Ontology provided better means for knowledge sharing and navigation therefore, multi-agent systems constructed using O-PRS, were more generic and more adaptable in comparison with those that use XML.

Providing Fairness to Mobile Workforces in an Automated Task Allocation Process: A Semantic Multi-agent Approach

“…Therefore, MWBS in each work period goes through two main phases; Initial phase and RunTime phase. The latter is described in details in (Mousavi et al, 2010a;2010b;2010c) and the former is the subject of this article.…”

“…In our previous studies (Mousavi et al, 2010a;2010b;2010c;Mousavi and Nordin, 2007) an ontology-driven and multiagent-based Mobile Workforce Brokering System (MWBS) has been proposed. Basically, MWBS is an automated system that automatically assigns tasks to a set of MWs according to a prescheduled plan.…”

Semantic Conflicts Detection of Heterogeneous Messages of Web Services: Challenges and Solution

“…OWL is an ontology language that introduced by OWL working group as a World Wide Web Consortium recommendation (W3C, 2004). It represents the meaning of classes (concepts) and the relationships between those classes (Mousavi et al, 2010). In our approach the relationships are very important in order to determine the semantic of the messages elements.…”

A Method for Human Resource Risk Management in Mobile Workforce Brokering Systems

“…In our early work (Mousavi et al, 2010b) we proposed a framework for MWBS. In this framework, the life time of MWBS is divided into two phases: Initialization phase and Run-time phase.…”

“…Managing HR risks is important because firstly, workforces are the key players in every organization and secondly, any disruption in task performance caused by HR risks will have negative impact on overall performance of the companies in which they are employed. Similarly, in the context of an automated Mobile Workforce Brokering System (MWBS) (Mousavi et al, 2010a;2010b;Mousavi and Nordin, 2007;Mousavi et al, 2011), where task allocation has to follow a prescheduled pattern, any unexpected or unplanned unavailability of Mobile Workforces (MW) will cause reduction in overall performance of their corresponding organization.…”