- -

MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems

Mostrar el registro completo del ítem

Duric, BO.; Rincon, JA.; Carrascosa Casamayor, C.; Schatten, M.; Julian Inglada, VJ. (2019). MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems. Journal of Ambient Intelligence and Humanized Computing. 10(9):3629-3641. https://doi.org/10.1007/s12652-018-1089-4

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143142

Ficheros en el ítem

[Cerrado]
Nombre: Duric;Rincon;Carr ...
Tamaño: 2.146Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems
Autor: Duric, B. Okresa Rincon, Jaime Andres Carrascosa Casamayor, Carlos Schatten, M. Julian Inglada, Vicente Javier
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] An intelligent virtual environment simulates a physical world inhabited by autonomous intelligent entities. Multi-agent systems have been usually employed to design systems of this kind. One of the key aspects in the ...[+]
Palabras clave: Multiagent systems (MAS) , Large-scale multiagent systems (LSMAS) , Ingelligent virtual environment (IVE) , Organization , Smart City , Model , Ontology
Derechos de uso: Cerrado
Fuente:
Journal of Ambient Intelligence and Humanized Computing. (eissn: 1868-5145 )
DOI: 10.1007/s12652-018-1089-4
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/s12652-018-1089-4
Código del Proyecto:
info:eu-repo/grantAgreement/HRZZ//8537/
info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/
Agradecimientos:
This work was supported by the project TIN2015-65515-C4-1-R of the Spanish government. This work has been supported in part by the Croatian Science Foundation under the project number 8537.
Tipo: Artículo

References

Ahmed Abbas H (2015) Organization of multi-agent systems: an overview. Int J Intell Inf Syst 4(3):46 (ISSN: 2328-7675)

Amiribesheli M, Bouchachia H (2017) A tailored smart home for dementia care. J Ambient Intell Hum Comput 1:1–28 (ISSN: 1868-5137, 1868-5145)

Amiribesheli M, Benmansour A, Bouchachia A (2015) A review of smart homes in healthcare. J Ambient Intell Hum Comput 6(4):495–517 (ISSN: 18685145) arXiv: TSMCC.2012.2189204 [10.1109] [+]
Ahmed Abbas H (2015) Organization of multi-agent systems: an overview. Int J Intell Inf Syst 4(3):46 (ISSN: 2328-7675)

Amiribesheli M, Bouchachia H (2017) A tailored smart home for dementia care. J Ambient Intell Hum Comput 1:1–28 (ISSN: 1868-5137, 1868-5145)

Amiribesheli M, Benmansour A, Bouchachia A (2015) A review of smart homes in healthcare. J Ambient Intell Hum Comput 6(4):495–517 (ISSN: 18685145) arXiv: TSMCC.2012.2189204 [10.1109]

Barella A, Ricci A, Boissier O, Carrascosa C (2012) MAM5: multi-agent model for intelligent virtual environments. In: 10th European workshop on multi-agent systems (EUMAS 2012), pp 16–30

Bordel B (2017) Self-configuration in humanized cyber-physical systems. J Ambient Intell Hum Comput 8(4):485–496 (ISSN: 1868-5137)

Chaib A, Boussebough I, Chaoui A (2018) Adaptive service composition in an ambient environment with a multi-agent system. J Ambient Intell Hum Comput 9(2):367–380 (ISSN: 1868-5137)

Chen X (2017) A multiagent-based model for pedestrian simulation in subway stations. Simul Modell Pract Theory 71:134–148 (ISSN: 1569-190X)

Chen T, Chiu MC (2018) Smart technologies for assisting the life quality of persons in a mobile environment: a review. J Ambient Intell Hum Comput 9(2):319–327 (ISSN: 1868-5137)

Corkill DD, Lander SE (1998) Diversity in agent organizations. Obj Mag 8(4):41–47

De Wolf T (2004) Emergence and self-organisation: a statement of similarities and differences. In: Proceedings of of the 2nd international workshop on engineering self, pp 96–110

Dignum V (2009) The role of organization in agent systems. English. In: Dignum V (ed) Handbook of research on multi-agent systems. Hershey, IGI Global, pp 1–16 (ISBN: 9781605662565)

Fishwick PA, Miller JA (2004) Ontologies for modeling and simulation: issues and approaches. In: Simulation conference, 2004. Proceedings of the 2004 Winter, vol 1. IEEE

Furfaro A (2016) Using virtual environments for the assessment of cybersecurity issues in IoT scenarios. Simul Modell Pract Theory 0:1–12

Gabriele D, Ferretti S, Ghini V (2016) Multi-level simulation of Internet of Things on smart territories. Simul Modell Pract Theory 0:1–19

Hadfi R, Ito T (2016) Holonic multiagent simulation of complex adaptive systems. In: Javier B

(Ed) Highlights of practical applications of scalable multi-agent systems. The PAAMS collection: international workshops of PAAMS 2016, Sevilla, Spain, June 1-3, 2016. Proceedings. Springer, Cham, pp 137-147 (ISBN: 978-3-319-39387-2)

Hofmann M, Palii J, Mihelcic G (2011) Epistemic and normative aspects of ontologies in modelling and simulation. J Simul 5(3):135–146

Hui TKL, Sherratt RS (2017) Towards disappearing user interfaces for ubiquitous computing: human enhancement from sixth sense to super senses. J Ambient Intell Hum Comput 8(3):449–465 (ISSN: 1868-5137, 1868-5145)

Kim S, Lee I (2018) IoT device security based on proxy re-encryption. J Ambient Intell Hum Comput 9(4):1267–1273 (ISSN: 1868-5137, 1868-5145)

Ko E, Kim T, Kim H (2018) Management platform of threats information in IoT environment. J Ambient Intell Hum Comput 9(4):1167–1176 (ISSN: 1868-5137, 1868-5145)

Liu Y, Xu C, Zhan Y, Liu Z, Guan J, Zhang H (2017) Incentive mechanism for computation offloading using edge computing: a stackelberg game approach. Comput Netw 129:399–409

Liu Y, Bashar AAE, Wu B, Wu H (2018a) Delay-constrained profit maximization for data deposition in mobile opportunistic device-to-device networks. In: 2018 IEEE 19th international symposium on” a world of wireless, mobile and multimedia networks (WoWMoM), IEEE, pp 1–10

Liu Y, et al (2018b) Delay-constrained utility maximization for video ads push in mobile opportunistic D2D networks. IEEE Internet Things J

Luck M, Aylett R (2000) Applying artificial intelligence to virtual reality: intelligent virtual environments. Appl Artif Intell 14(1):3–32

Marcon E (2017) A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care. Simul Modell Pract Theory 74:134–151 (ISSN: 1569-190X)

Mulero R (2018) Towards ambient assisted cities using linked data and data analysis. J Ambient Intell Hum Comput 9(5):1573–1591 (ISSN: 1868-5137, 1868-5145)

Okreša Đ B, Schatten M (2016) Defining ontology combining concepts of massive multi-player online role playing games and organization of large-scale multi-agent systems. In: Opatija HR (ed) 39th international convention on information and communication technology, electronics and microelectronics (MIPRO). IEEE, pp 1330–1335 (ISBN: 978-953-233-086-1)

Ricci A, Viroli M, Omicini A (2007) Give agents their artifacts: the A&A approach for engineering working environments in MAS. In: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems, p 150

Rincon JA, Carrascosa C, Garcia E (2014) Developing intelligent virtual environments using MAM5 meta-model. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 8473 LNAI, pp 379–382 (ISSN: 16113349)

Rincon J (2016) Extending MAM5 meta-model and JaCalIV E framework to integrate smart devices from real environments. PLoS One 11:e0149665. https://doi.org/10.1371/journal.pone.0149665

Rincon J, Garcia E, Julian V, Carrascosa C (2018) The jacalive framework for mas in IVE: a case study in evolving modular robotics. Neurocomputing 275:608–617

Rodriguez S (2011) Holonic multi-agent systems. In: Di Marzo SG, Gleizes MP, Karageorgos A (eds) Natural computing series, natural computing series, vol 37. Springer, Heidelberg, pp 251–279 (ISBN: 978-3-642-17347-9)

Samara A, et al. (2017) Affective state detection via facial expression analysis within a human–computer interaction context. J Ambient Intell Hum Comput (ISSN: 1868-5137, 1868-5145)

Schatten M (2014) Organizational architectures for large-scale multi-agent systems’ development: an initial ontology. In: Sigeru O, et al (Ed) Advances in intelligent systems and computing, vol 290, pp 261–268

Schatten M (2014) Towards a formal conceptualization of organizational design techniques for large scale multi agent systems. Procedia Technol 15:577–586 (ISSN: 22120173)

Sharpanskykh A, Treur J (2012) An ambient agent architecture exploiting automated cognitive analysis. J Ambient Intell Hum Comput 3(3):219–237 (ISSN: 1868-5137, 1868-5145)

Weyns D, Haesevoets R, Helleboogh A (2010) The MACODO organization model for context-driven dynamic agent organizations. ACM Trans Auton Adapt Syst 5(4):1–29 (ISSN: 15564665)

Yang G, Kifer M, Zhao C (2003) Flora-2: a rule-based knowledge representation and inference infrastructure for the semantic web. In: Robert M, Zahir T, Douglas CS

(Ed) On the move to meaningful internet systems 2003: CoopIS, DOA, and ODBASE: OTM confederated international conferences, CoopIS, DOA, and ODBASE 2003, Catania, Sicily, Italy, November 3-7, 2003. Proceedings. Springer, Berlin, pp 671-688 (ISBN: 978-3-540-39964-3)

Zehe D, et al (2015) SEMSim cloud service: large-scale urban systems simulation in the cloud. In: 58, pp 157–171

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem