An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems

One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the information in distributed, heterogeneous e-health systems. Using a layered ontology structure we show how ontology based multi-agent systems can be used to resolve discrepancies in terminology and/or structure. This involves a case study in a distributed Electronic Health Record (EHR) environment.

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A Programming Approach to Collective Autonomy

Journal of Sensor and Actuator Networks ◽

10.3390/jsan10020027 ◽

2021 ◽

Vol 10 (2) ◽

pp. 27

Author(s):

Roberto Casadei ◽

Gianluca Aguzzi ◽

Mirko Viroli

Keyword(s):

Autonomous Vehicles ◽

Autonomic Computing ◽

Autonomous Agents ◽

Programming Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Simulated Case ◽

Complex Settings

Research and technology developments on autonomous agents and autonomic computing promote a vision of artificial systems that are able to resiliently manage themselves and autonomously deal with issues at runtime in dynamic environments. Indeed, autonomy can be leveraged to unburden humans from mundane tasks (cf. driving and autonomous vehicles), from the risk of operating in unknown or perilous environments (cf. rescue scenarios), or to support timely decision-making in complex settings (cf. data-centre operations). Beyond the results that individual autonomous agents can carry out, a further opportunity lies in the collaboration of multiple agents or robots. Emerging macro-paradigms provide an approach to programming whole collectives towards global goals. Aggregate computing is one such paradigm, formally grounded in a calculus of computational fields enabling functional composition of collective behaviours that could be proved, under certain technical conditions, to be self-stabilising. In this work, we address the concept of collective autonomy, i.e., the form of autonomy that applies at the level of a group of individuals. As a contribution, we define an agent control architecture for aggregate multi-agent systems, discuss how the aggregate computing framework relates to both individual and collective autonomy, and show how it can be used to program collective autonomous behaviour. We exemplify the concepts through a simulated case study, and outline a research roadmap towards reliable aggregate autonomy.

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Exploring management strategies for community-based forests using multi-agent systems: A case study in Palawan, Philippines

Journal of Environmental Management ◽

10.1016/j.jenvman.2009.06.016 ◽

2009 ◽

Vol 90 (11) ◽

pp. 3607-3615 ◽

Cited By ~ 13

Author(s):

Paolo C. Campo ◽

Guillermo A. Mendoza ◽

Philippe Guizol ◽

Teodoro R. Villanueva ◽

François Bousquet

Keyword(s):

Management Strategies ◽

Multi Agent Systems ◽

Community Based ◽

Agent Systems ◽

Multi Agent

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A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems

2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI) ◽

10.1109/micai.2015.20 ◽

2015 ◽

Author(s):

Hiram Ponce ◽

Ricardo Padilla ◽

Alan Davalos ◽

Alvaro Herrasti ◽

Cynthia Pichardo ◽

...

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Hierarchical Reinforcement Learning ◽

Multi Agent

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Interoperability in Healthcare

Health Care Delivery and Clinical Science ◽

10.4018/978-1-5225-3926-1.ch036 ◽

2017 ◽

pp. 689-714 ◽

Cited By ~ 3

Author(s):

Luciana Cardoso ◽

Fernando Marins ◽

César Quintas ◽

Filipe Portela ◽

Manuel Santos ◽

...

Keyword(s):

Information Systems ◽

Patient Information ◽

Swot Analysis ◽

Medical Information ◽

Healthcare Delivery ◽

Quality Of Healthcare ◽

High Availability ◽

Heterogeneous Information ◽

Multi Agent

With the advancement of technology, patient information has been being computerized in order to facilitate the work of healthcare professionals and improve the quality of healthcare delivery. However, there are many heterogeneous information systems that need to communicate, sharing information and making it available when and where it is needed. To respond to this requirement the Agency for Integration, Diffusion, and Archiving of medical information (AIDA) was created, a multi-agent and service-based platform that ensures interoperability among healthcare information systems. In order to improve the performance of the platform, beyond the SWOT analysis performed, a system to prevent failures that may occur in the platform database and also in machines where the agents are executed was created. The system has been implemented in the Centro Hospitalar do Porto (one of the major Portuguese hospitals), and it is now possible to define critical workload periods of AIDA, improving high availability and load balancing. This is explored in this chapter.

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Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

Information Resources Management ◽

10.4018/978-1-61520-965-1.ch210 ◽

2010 ◽

pp. 326-345

Author(s):

N. Sahli ◽

G. Lenzini

Keyword(s):

Recommender Systems ◽

Virtual Communities ◽

Multi Agent Systems ◽

Artificial Intelligent ◽

Agent Based ◽

Agent Systems ◽

Multi Agent

This chapter surveys and discusses relevant works in the intersection among trust, recommendations systems, virtual communities, and agent-based systems. The target of the chapter is showing how, thanks to the use of trust-based solutions and artificial intelligent solutions like that understanding agents-based systems, the traditional recommender systems can improve the quality of their predictions. Moreover, when implemented as open multi-agent systems, trust-based recommender systems can efficiently support users of mobile virtual communities in searching for places, information, and items of interest.

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Engineering Adaptive Multi-Agent Systems

Intelligent Information Technologies ◽

10.4018/978-1-59904-941-0.ch029 ◽

2011 ◽

pp. 513-535

Author(s):

Carole Bernon ◽

Valérie Camps ◽

Marie-Pierre Gleizes ◽

Gauthier Picard

Keyword(s):

Information System ◽

Theoretical Background ◽

Multi Agent Systems ◽

Agent Systems ◽

The Third ◽

Multi Agent

This chapter introduces the ADELFE methodology, an agent-oriented methodology dedicated to the design of systems that are complex, open, and not well-specified. The need for its development is justified by the theoretical background given in the first section, which also gives an overview of the concepts on which multi-agent systems developed with ADELFE are based. A methodology is composed of a process, a notation, and tools. Tools are presented in the second section and the process in the third one, using an information system case study to better visualize how to apply this process.

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Application of Fuzzy Labeled Transition System to Contract Net Protocol

International Journal of Service Science Management Engineering and Technology ◽

10.4018/ijssmet.2015070103 ◽

2015 ◽

Vol 6 (3) ◽

pp. 27-46 ◽

Cited By ~ 8

Author(s):

Sofia Kouah ◽

Djamel Eddine Saïdouni

Keyword(s):

Dynamic Systems ◽

Transition System ◽

Multi Agent Systems ◽

Contract Net Protocol ◽

Agent Systems ◽

Contract Net ◽

Multi Agent ◽

Refinement Process ◽

Labeled Transition System

For developing large dynamic systems in a rigorous manner, fuzzy labeled transition refinement tree (FLTRT for short) has been defined. This model provides a formal specification framework for designing such systems. In fact, it supports abstraction and enables fuzziness which allows a rigorous formal refinement process. The purpose of this paper is to illustrate the applicability of FLTRT for designing multi agent systems (MAS for short), among others collective and internal agent's behaviors. Therefore, Contract Net Protocol (CNP for short) is chosen as case study.

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Role-Based Multi-Agent Systems

Personalized Information Retrieval and Access ◽

10.4018/978-1-59904-510-8.ch012 ◽

2011 ◽

pp. 254-285 ◽

Cited By ~ 3

Author(s):

Haibin Zhu ◽

MengChu Zhou

Keyword(s):

System Design ◽

Multi Agent Systems ◽

Agent System ◽

Agent Systems ◽

Collaborative Behavior ◽

Cooperative Agents ◽

Multi Agent ◽

Role Based ◽

Information Personalization

Agent system design is a complex task challenging designers to simulate intelligent collaborative behavior. Roles can reduce the complexity of agent system design by categorizing the roles played by agents. The role concepts can also be used in agent systems to describe the collaboration among cooperative agents. In this chapter, we introduce roles as a means to support interaction and collaboration among agents in multi-agent systems. We review the application of roles in current agent systems at first, then describe the fundamental principles of role-based collaboration and propose the basic methodologies of how to apply roles into agent systems (i.e., the revised E-CARGO model). After that, we demonstrate a case study: a soccer robot team designed with role specifications. Finally, we present the potentiality to apply roles into information personalization.

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An Approach to Modeling Integrated Product Teams

Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2008-49441 ◽

2008 ◽

Cited By ~ 1

Author(s):

Richard M. Crowder ◽

Y. W. Sim ◽

Terry Payne ◽

Mark Robinson ◽

Helen Jackson ◽

...

Keyword(s):

Design Domain ◽

Multi Agent Systems ◽

Full Understanding ◽

Team Members ◽

Agent Based ◽

Agent Systems ◽

Team Interactions ◽

Multi Agent ◽

Initial Results

This paper considers an agent-based approach to organizational modeling within the engineering design domain. It is widely recognized that interactions between individual designers, between (and within) integrated product teams (IPTs), together with the nature of design tasks have a significant impact upon how well a task can be performed, and hence the quality of the resultant product. In order for organizations to gain a full understanding of design team interactions within IPTs, we propose the use of multi-agent systems to model the behaviors and cognitions of team members, and to explore the applicability of different agent-theoretic approaches that could augment current team practices. In this paper we discuss the background to the work and the identifications of individual, and team variables. The paper concludes by discussing the computational model of a small IPT, which has been implemented using JADE, and the initial results are presented.

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