scholarly journals Architecture to Embed Software Agents in Resource Constrained Internet of Things Devices

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 100 ◽  
Author(s):  
Daniel H. De La Iglesia ◽  
Gabriel Villarrubia González ◽  
André Sales Mendes ◽  
Diego Jiménez-Bravo ◽  
Alberto L. Barriuso
Keyword(s):  
Internet Of Things ◽  
Urban Environments ◽  
Multi Agent Systems ◽  
Intelligent Environments ◽  
Sensing Systems ◽  
The Future ◽  
Multi Agent ◽  
Intelligent Information

Sensing systems in combination with treatment tools and intelligent information management are the basis on which the cities and urban environments of the future will be built. Progress in the research and development of these new and intelligent scenarios is essential to achieve the objectives of efficiency, integration, sustainability, and quality of life for people who live in cities. To achieve these objectives, it is essential to investigate the development of cheaper, more accurate, and smarter hardware devices, which will form the basis of the intelligent environments of the future. This article focuses on an approach based on intelligent multi-agent systems that are integrated into basic hardware devices for the Internet of Things (IoT). A multi-agent architecture is proposed for the fast, efficient, and intelligent management of the generated data. A layer of services adapted to the needs of the new intelligent environments is built on this architecture. With the aim of validating this architecture, a case study based on electric vehicles of the e-bike type is proposed.

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

2010 ◽  
Vol 1 (1) ◽  
pp. 28-40 ◽  
Author(s):  
Weir Ying ◽  
Jaminda S. Wimalasiri ◽  
Pradeep Ray ◽  
Subhagata Chattopadhyay ◽  
Concepción S. Wilson
Keyword(s):  
Health Systems ◽  
Patient Information ◽  
Quality Of Healthcare ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Current Health ◽  
Ontology Structure ◽  
Multi Agent

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.

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

2012 ◽  
pp. 18-30 ◽  
Author(s):  
Weir Ying ◽  
Jaminda S. Wimalasiri ◽  
Pradeep Ray ◽  
Subhagata Chattopadhyay ◽  
Concepción S. Wilson
Keyword(s):  
Information Management ◽  
Health Systems ◽  
Patient Information ◽  
Quality Of Healthcare ◽  
Multi Agent Systems ◽  
Current Health ◽  
Ontology Structure ◽  
Multi Agent

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.

scholarly journals A Programming Approach to Collective Autonomy

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.

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

2009 ◽  
Vol 90 (11) ◽  
pp. 3607-3615 ◽  
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

Ambient Urbanities and Beyond

2019 ◽  
pp. 302-327
Keyword(s):  
Smart Cities ◽  
Research Literature ◽  
Urban Environments ◽  
Case Study Approach ◽  
Study Approach ◽  
Exploratory Case Study ◽  
The People ◽  
The Future

The purpose of this chapter is to provide a review of the research literature for works that are pushing the boundaries of smart cities in providing a glimpse of perspectives going forward. This chapter focuses on ambient explorations, microgrids and smartgrids, wise cities, and the quantum concept in shedding light on the evolving nature of the people-technologies-cities dynamic for more adaptive urban environments, characteristic of smart and responsive cities. Using an exploratory case study approach, solutions and recommendations are advanced. An analysis is provided of issues, controversies, and problems along with a discussion of the solutions and recommendations offered. Perspectives emerge for looking beyond and into the future of ambient urbanities in identifying potential directions for practitioners and researchers. This chapter makes a contribution to 1) the research literature for smart cities and future cities and 2) perspectives beyond ambient urbanities that encompass parallel and complementary potentials for smarter urbanities.

Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

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.

Engineering Adaptive Multi-Agent Systems

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.

Application of Fuzzy Labeled Transition System to Contract Net Protocol

2015 ◽  
Vol 6 (3) ◽  
pp. 27-46 ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document