A Multi-Agent Knowledge Management System for Reactive and Proactive Knowledge Supply

2013 ◽  
pp. 1104-1119
Author(s):  
Carlos M. Toledo ◽  
Omar Chiotti ◽  
María R. Galli
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Business Processes ◽  
Workflow Management ◽  
Agent Based ◽  
Workflow Pattern ◽  
Structured Information ◽  
Multi Agent ◽  
Management Approaches ◽  
Knowledge Intensive

This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workflow management system. This architecture proactively provides relevant knowledge to workflow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defines a new workflow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches.

A Multi-Agent Knowledge Management System for Reactive and Proactive Knowledge Supply

2012 ◽  
pp. 203-218 ◽  
Author(s):  
Carlos M. Toledo ◽  
Omar Chiotti ◽  
María R. Galli
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Business Processes ◽  
Workflow Management ◽  
Agent Based ◽  
Workflow Pattern ◽  
Structured Information ◽  
Multi Agent ◽  
Management Approaches ◽  
Knowledge Intensive

This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workflow management system. This architecture proactively provides relevant knowledge to workflow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defines a new workflow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches.

A Mobile Agent Based Approach for Business Processes Automation

2013 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Ernesto López-Mellado ◽  
Marina Flores-Badillo
Keyword(s):  
Mobile Agent ◽  
Business Processes ◽  
Systems Approach ◽  
Workflow Management ◽  
Multi Agent Systems ◽  
Distributed Software ◽  
Agent Based ◽  
Agent Behavior ◽  
Key Issues ◽  
Multi Agent

The paper addresses specification and development of large and complex management systems for business process based on a multi agent systems approach. A methodology for obtaining workflow specifications is presented; it is based on conceiving the management system as a mobile agent system in which mobile agents guide the workflow processes within the organization. The specification includes the work environment, the agent behavior, the process plans, the tasks, the resources, and the interaction protocols. The obtained descriptions are modular and hierarchal leading to clear and compact structuring of the distributed software. The design methodology includes a guideline for Java based coding. Finally, key issues for extending the agent based method to address inter-organizational workflow management are overviewed.

scholarly journals Mobile Agent based Workflow Management System (MAWFMS) for Information Flow and Business Processes

2018 ◽  
Vol 11 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Rahul Singh Chowhan
Keyword(s):  
Mobile Agent ◽  
Mobile Agents ◽  
Management System ◽  
Business Processes ◽  
Current Trend ◽  
Workflow Management ◽  
Workflow Management System ◽  
Object Oriented Programming ◽  
Agent Based ◽  
Automated Learning

Mobile agents are a very novice field with wider scope of research in the stream of a integrated coherent networks, parallel programming, automated learning, remote execution and artificial intelligence. A mobile agent is a representative that is often treated as moving object developed using any object oriented programming language. Using a WFMS is an emerging current trend in modeling, research methodologies and implementing the information/data flow and various related business processes within an organization. Work is often credited as a task, information, a document, data, announcements or a job that passes through different nodes within an organization. The integration of WFMS involves the automation of various processes such as tasks, documents, processed data, and information or rules to accomplish a task. This automation within the technology can be achieved by integration of agent based technology that makes use of Mobile Agent Paradigm. This paper briefs about various features, benefits and role mobile agents in Workflow management system. This also highlights how the implementation of MAWFMS can smoothen and simplifies the workflow managements in multifarious event based environments.

The Design of Enterprise Cooperative Platform Based on Workflow

2014 ◽  
Vol 568-570 ◽  
pp. 1616-1620
Author(s):  
Min Qin ◽  
Shi Quan Qiao
Keyword(s):  
Business Process ◽  
Management System ◽  
Business Processes ◽  
Computer Network ◽  
Workflow Management ◽  
Workflow Management System ◽  
Workflow Engine ◽  
Operation Efficiency ◽  
Business Operation ◽  
Whole Process

At present, the enterprise has many business processes. It need transfer many forms involving personnel, procurement and other aspects. The workflow management system uses computer network to realize the automation of the business process. This paper analyses the workflow management system, describes the operational principle of the workflow engine and presents a cooperative platform design based on workflow. It can effectively track the whole process and realize standardized management. Otherwise, it can enhance the enterprise business operation efficiency.

scholarly journals Implementasi Knowledge Management System Pada Bank Tabungan Negara di Provinsi Sumatera Selatan

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Fery Antony
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Success Factors ◽  
Business Processes ◽  
Reference Model ◽  
Core Competencies ◽  
Organizational Factors ◽  
Knowledge Management System ◽  
Savings Bank ◽  
Banking Institutions

<p align="center"><strong>ABSTRACT</strong></p><p><em>This study discusses the Implementation of Knowledge Management System (KMS) at the National Savings Bank (BTN) in South Sumatra, as a government bank. Given the role of banks in the economy and the extraordinary level of competition. This research is expected to be a reference in implementing KMS in banking.</em><em> </em><em>Banks need KMS to run business processes in the application of expertise in organizations, because KMS is able to improve the bank's core competencies. KMS acts as a liaison in the knowledge provider to broaden and deepen knowledge, contribute to overcoming competition between banks in raising funds to create forms of innovative product services provided to the public.</em><em> </em><em>This research is to identify the implementation of KMS in the organization, so it can be seen the success factors of KMS in banking institutions. Data collected by questionnaire, then made a research model. The survey results revealed that the KMS model suitable for use as a reference model for KMS implementation in BTN South Sumatra was influenced by factors, namely KM; organizational factors measurement objectives / specific strategies and leadership support, information technology and service innovation to consumers.</em></p><p><strong><em>Keywords</em></strong><strong><em> </em></strong><strong><em>:</em></strong><strong><em> </em></strong><em>Implementation KMS, KMS on Banking, KMS Success Factors</em></p><p align="center"><strong>ABSTRAK</strong></p><p><em>Penelitian ini membahas Implementasi Knowledge Management System (KMS) di Bank Tabungan Negara (BTN) di Sumatera Selatan, sebagai Bank pemerintah. Mengingat peran bank dalam perekonomian dan tingkat persaingan yang luar biasa. Penelitian ini diharapkan dapat menjadi referensi dalam mengimplementasikan KMS di perbankan.</em><em> </em><em>Bank membutuhkan KMS untuk menjalankan proses bisnis dalam penerapan keahlian dalam organisasi, karena KMS mampu meningkatkan kompetensi inti bank. KMS bertindak sebagai penghubung dalam penyedia pengetahuan untuk memperluas dan memperdalam pengetahuan, berkontribusi untuk mengatasi persaingan antara bank dalam mengumpulkan dana untuk menciptakan bentuk-bentuk layanan produk inovatif yang disediakan untuk publik.</em><em> </em><em>Penelitian ini untuk mengidentifikasi implementasi KMS dalam organisasi, sehingga dapat dilihat faktor keberhasilan KMS di lembaga perbankan. Data yang dikumpulkan dengan kuesioner, kemudian dibuat model penelitian. Hasil survei mengungkapkan model KMS yang cocok untuk digunakan sebagai model referensi implementasi KMS di BTN Sumatera Selatan dipengaruhi oleh faktor-faktor, yaitu KM; faktor organisasi tujuan pengukuran / strategi tertentu dan dukungan kepemimpinan, teknologi informasi dan inovasi layanan kepada konsumen</em><em>.</em></p><strong><em>Kata kunci : </em></strong><em>Implementasi KMS, KMS di Perbankan, Faktor Keberhasilan KMS</em>

Developing Multi-Agent Based Micro-Grid Management System in JADE

2019 ◽  
Author(s):  
H.V.V. Priyadarshana ◽  
K.T.M. U Hemapala ◽  
W.D.A. S Wijayapala ◽  
V. Saravanan ◽  
M.A. Kalhan S. Boralessa
Keyword(s):  
Management System ◽  
Agent Based ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Management
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