Formalizing and Leveraging Domain Knowledge in the K4CARE Home Care Platform

2011 ◽  
pp. 279-302 ◽  
Author(s):  
Ákos Hajnal ◽  
Antonio Moreno ◽  
Gianfranco Pedone ◽  
David Riaño ◽  
László Zsolt Varga
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
Home Care ◽  
Domain Knowledge ◽  
A Priori ◽  
Medical Knowledge ◽  
Implicit Knowledge ◽  
Agent Based ◽  
Agent Platform ◽  
Multi Agent

This chapter proposes an agent-based architecture for home care support, whose main capability is to continuously admit and apply new medical knowledge entered into the system, capturing and codifying implicit knowledge deriving from the medical staff. Knowledge is the fundamental catalyst in all application domains, and this is particularly true especially for the medical context. Knowledge formalization, representation, exploitation, creation, and sharing are some of the most complex issues related to Knowledge Management. Moreover, Artificial Intelligence techniques and MAS (Multi-Agent System) in health care are increasingly justifying the large demand for their application, since traditional techniques are often not suitable to manage complex tasks or to adapt to unexpected events. The chapter presents also a methodology for approaching medical knowledge management from its representation symbolism to the implementation details. The codification of health care treatments, as well as the formalization of domain knowledge, serves as an explicit, a priori asset for the agent platform implementation. The system has the capability of applying new, implicit knowledge emerging from physicians.

scholarly journals Towards developing a cyber-physical multi-agent system for managing precise farms with digital twins of plants

2019 ◽  
pp. 257-261
Author(s):  
Vladimir Laryukhin ◽  
Petr Skobelev ◽  
Oleg Lakhin ◽  
Sergey Grachev ◽  
Vladimir Yalovenko ◽  
...  
Keyword(s):  
A Priori ◽  
Knowledge Bases ◽  
Agent Based ◽  
Plant Soil ◽  
Plant Cultivation ◽  
Technical Requirements ◽  
Digital Twins ◽  
History Of ◽  
Multi Agent ◽  
High Uncertainty

The paper presents the multi-agent approach for developing cyber-physical system for managing precise farms with digital twins of plants. It discusses complexity of the problem caused by a priori incompleteness of knowledge about factors of plant growth and development, high uncertainty of crops cultivation, variety of weather, business and technical requirements, etc. The approach proposes knowledge bases and multi-agent technology in combination with machine learning methods for designing considered systems. Digital twin of plant is specified as an agent based on ontology model of objects relevant for plant cultivation (specific sort of plant, soil, etc) associated with history of operations and environment conditions. The architecture and functions of system components are designed. The expected results of system implementation and the benefits for farmers are discussed.

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.

Enhanced Reputation Model with Forgiveness for E-Business Agents

2011 ◽  
Vol 3 (1) ◽  
pp. 11-26 ◽  
Author(s):  
Radu Burete ◽  
Amelia Badica ◽  
Costin Badica ◽  
Florin Moraru
Keyword(s):  
Computational Models ◽  
Business Environment ◽  
Quality Attribute ◽  
Agent Based ◽  
Agent Platform ◽  
Business Transactions ◽  
Multi Agent ◽  
Important Quality ◽  
Reputation Model ◽  
Sample Set

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

scholarly journals Cooperation Design System Based on Mobile-C Agent Platform

2011 ◽  
Vol 1 ◽  
pp. 16-20
Author(s):  
Bo Yu ◽  
Zi Xian Zhang ◽  
Yi Xiong Feng ◽  
Luis Ariel Diago ◽  
Ichiro Hagiwara
Keyword(s):  
Distributed Systems ◽  
Industrial Applications ◽  
Self Organization ◽  
Design System ◽  
Multi Agent System ◽  
Effective Mechanism ◽  
Agent Based ◽  
Agent Platform ◽  
The Past ◽  
Multi Agent

Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because distributed architecture has advantages in resource utilization, fault toleration .etc. Multi-Agent System (MAS) arises from combination of the theories of artificial intelligence and distributed systems. One character of MAS is their self-organization, so how to implement an effective mechanism for self-organization of agents is important to a MAS system, this paper describes the design and implementation of a Mobile-C based agent management system, in which Mobile-C was adopted as the implementation platform, and this paper also described an agent-based cooperative design application using this system to manage all the agents involved.

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2015 ◽  
pp. 482-502
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Knowledge and Process Management in Health Care Organizations

2004 ◽  
Vol 43 (05) ◽  
pp. 525-535 ◽  
Author(s):  
M. Stefanelli
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
High Performance ◽  
Process Management ◽  
Medical Knowledge ◽  
Care Process ◽  
Social Characteristics ◽  
Care Organization ◽  
Future Health ◽  
Research Issues

Summary Objective: Medical knowledge management and care process management have become to be considered as valuable strategic assets that can lead to sustained increase in Health Care Organization (HCO) performance. Thus, it is essential to investigate which are the enablers for promoting knowledge-based organizations (people, organization, process, and system perspectives). Although they are essential for a HCO to manage knowledge effectively, it is still unclear how to employ them in more principled fashion. This requires innovative management strategies to determine effective ways of utilizing knowledge resources and capabilities available both within and outside the organization. Method: This paper reviews knowledge and process management theories, methods, and technologies that are potentially effective in building high performance HCOs. They come from a variety of fields behind computer science and medical informatics, e.g. from business and organization sciences to psychological and cognitive sciences, from epistemology to sociology. However, the success in developing future Health Information Systems (HIS) requires their incorporation into a new conceptual framework after recognizing how peculiar are the characteristics of HCOs with respect to other organizations. Investigating the nature of knowledge, in general, and of medical knowledge, in particular, is essential to define which services the future HIS should provide to foster collaboration between patients and health professionals. The knowledge creation process is then described in order to emphasize its dynamic and social characteristics. The potential of workflow technology for building innovative HISs is analyzed together with several basic research issues which are very challenging for researchers in the field. Result: A framework for augmenting the conceptual analysis of theories, methods, tools and effects of knowledge management in building high performance HCOs.

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