Architecture of a mobile-agent of a distributed knowledge management system

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agents, which receive the user's queries and visit the organization domains where this information can be generated. The system has been developed using an approach based on the organizational concept of business processes to identify roles and protocols as part of the analysis stage of a methodology for agent-oriented analysis and design. The mobility of the agent is defined using an approach based on both the quality attributes specified for the multi-agent architecture and the execution environments of the multi-agent system. Particularly, this work is focused on describing the designed mobile agents’ architecture and some implementation details of it.Eje: Agentes y Sistemas Inteligentes (ASI)Red de Universidades con Carreras en Informática (RedUNCI

Architecture of a mobile-agent of a distributed knowledge management system

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agents, which receive the user's queries and visit the organization domains where this information can be generated. The system has been developed using an approach based on the organizational concept of business processes to identify roles and protocols as part of the analysis stage of a methodology for agent-oriented analysis and design. The mobility of the agent is defined using an approach based on both the quality attributes specified for the multi-agent architecture and the execution environments of the multi-agent system. Particularly, this work is focused on describing the designed mobile agents’ architecture and some implementation details of it.Eje: Agentes y Sistemas Inteligentes (ASI)Red de Universidades con Carreras en Informática (RedUNCI

MASK-SM : multi-agent system based knowledge management system to support knowledge sharing of software maintenance knowledge environment.

Knowledge management (KM) has become an important topic as organizations wish to take advantage of the information that they produce and that can be brought to bear on present decisions. This paper described a system to manage the information and knowledge generated during the software maintenance process (SMP). Knowledge Management System (KMS) is utilizing to help employees build a shared vision, since the same codification is used and misunderstanding in staff communications may be avoided. The architecture of the system is formed from a set of agent communities each community of practice(CoP) is in charge of managing a specific type of knowledge. The agents can learn from previous experience and share their knowledge with other agents or communities in a group of multi-agent system (MAS). This paper also described on the theoretical concept and approach of multi-agent technology framework that could be implemented software maintenance process (SMP) in order to facilitate knowledge sharing among the maintainers of the learning organization. as well as to demonstrate it into the system wise, on how the multi-agent technology could be utilized in the software maintenance process (SMP) system model for serving the maintainer that is developed by using groupware such as Lotus Notes software. This architecture will be named as MASK-SM (MAS Architecture to Facilitate Knowledge Sharing of Software Maintenance). The author followed the Prometheus methodology to design the MAS architecture. This paper applied the definition of ISO 9241-11 (1998) that examines effectiveness, efficiency, and satisfaction. The emphasis will be given to the software maintenance process (SMP) activities that may concern with multi-agent technology to help the maintainers especially in learning organization to work collaboratively including critical success factor in order to ensure that software maintenance process (SMP) initiatives would be delivered competitive advantage for the community of practice(CoP) as well as users of the organization

Reverse Logistics Sustainability For Environmental Performance

International audienceToday, the trend of doing business concerns not only the efficiency but also the sustainability of product and the health of environment. In order to reduce waste generation and improve product or product development process in term of time, cost and quality, organization focuses more and more on Product lifecycle sustainability. It helps reducing waste, conserving resources, using recycling materials, designing product for easy disassembly and avoiding using hazardous material. This paper proposes a knowledge management architecture, based on a multi-agent system, which focuses on the “sustainability” in order to manage knowledge in each stage of the product lifecycle, and particularly in the recovery process. The aim of this research work is to distribute the environmental knowledge about sustainability (e.g. environmental regulations, rules, norms...) by using multi agent system architecture. The proposed system will make the link between the agent's knowledge base and PLM (Product Lifecycle Management) systems. It will help the decision makers in each stage of the lifecycle and make them take into account the environmental impact of their decisions. The proposed architecture will be illustrated on an industrial case study

Integrating Agents into a Collaborative Knowledge-based System for Business Rules Consistency Management

Capitalization and reuse of expert knowledge are very important for the survival of an enterprise. This paper presents a collaborative approach that utilizes domain ontology and agents. Thanks to our knowledge formalizing process, we give to domain expert an opportunity to store different forms of retrieved knowledge from experiences, design rules, business rules, decision processes, etc. The ontology is built to support business rules management. The global architecture is mainly composed of agents such as Expert agent, Evaluator agent, Translator agent, Security agent and Supervisor agent. The Evaluator agent is at the heart of our functional architecture, its role is to detect the problems that may arise in the consistency management module and provides a solution to these problems in order to validate the accuracy of business rules. In addition, a Security agent is defined to handle both security aspects in rules modeling and multi-agent system. The proposed approach is different from the others in terms of the number of rule’s inconsistencies which are detected and treated like contradiction, redundancy, invalid rules, domain violation and rules never applicable, the collaboration that is initiated among business experts and the guarantee of security of the business rules and all the agents which constitute our system. The developed collaborative system is applied in an industrial case study.

A Task-based Support Architecture for Developing Point-of-care Clinical Decision Support Systems for the Emergency Department

Objectives: The purpose of this study was to create a task-based support architecture for developing clinical decision support systems (CDSSs) that assist physicians in making decisions at the point-of-care in the emergency department (ED). The backbone of the proposed architecture was established by a task-based emergency workflow model for a patient-physician encounter. Methods: The architecture was designed according to an agent-oriented paradigm. Specifically, we used the O-MaSE (Organization-based Multi-agent System Engineering) method that allows for iterative translation of functional requirements into architectural components (e.g., agents). The agent-oriented paradigm was extended with ontology-driven design to implement ontological models representing knowledge required by specific agents to operate. Results: The task-based architecture allows for the creation of a CDSS that is aligned with the task-based emergency workflow model. It facilitates decoupling of executable components (agents) from embedded domain knowledge (ontological models), thus supporting their interoperability, sharing, and reuse. The generic architecture was implemented as a pilot system, MET3-AE – a CDSS to help with the management of pediatric asthma exacerbation in the ED. The system was evaluated in a hospital ED. Conclusions: The architecture allows for the creation of a CDSS that integrates support for all tasks from the task-based emergency workflow model, and interacts with hospital information systems. Proposed architecture also allows for reusing and sharing system components and knowledge across disease-specific CDSSs

KSNet-Approach to Knowledge Fusion from Distributed Sources

The rapidity of the decision making process is an important factor in different branches of the human life (business, healthcare, industry, military applications etc.). Since responsible persons make decisions using available knowledge, it is important for knowledge management systems to deliver necessary and timely information. Knowledge logistics is a new direction in the knowledge management addressing this. Technology of knowledge fusion, based on the synergistic use of knowledge from multiple distributed sources, is a basis for these activities. The paper presents an overview of a Knowledge Source Network configuration approach (KSNet-approach) to knowledge fusion, multi-agent architecture and research prototype of the KSNet knowledge fusion system based on this approach

Multi-agent system for multimodal machine learning object detection

Multi-agent systems have shown great promise in addressing complex problems that traditional single-agent approaches are not be able to handle. In this article, we propose a multi-agent system for the conception of a multimodal machine learning problem on edge devices. Our architecture leverages docker containers to encapsulate knowledge in the form of models and processes, enabling easy management of the system. Communication between agents is facilitated by Message Queuing Telemetry Transport, a lightweight messaging protocol ideal for Internet of Things and edge computing environments. Additionally, we highlight the significance of object detection in our proposed system, which is a crucial component of many multimodal machine learning tasks, by enabling the identification and localization of objects within diverse data modalities. In this manuscript an overall architecture description is performed, discussing the role of each agent and the communication protocol between them. The proposed system offers a general approach to multimodal machine learning problems on edge devices, demonstrating the advantages of multi-agent systems in handling complex and dynamic environments.This work has been supported by FCT (Fundação para a Ciência e Tecnologia) within the R&D Units Project Scope: UIDB/00319/2020

An Agent-Based Knowledge Management System for University Research Activity Monitoring

Academic research activity monitoring and evaluation are major tasks of a university knowledge management system in the context of the university activity assessments for various national and international classifications. The paper proposes the architecture of a multi-agent system developed for university research activity monitoring as a knowledge management tool. Preliminary results of a prototype system run are briefly discussed