JOUR-MASa multi-agent system approach to help journalism management

  1. LÓPEZ BARRIUSO, Alberto 1
  2. DE LA PRIETA, Fernando 2
  3. LOZANO MURCIEGO, Álvaro 1
  4. HERNÁNDEZ, Daniel 1
  5. REVUELTA HERRERO, Jorge 1
  1. 1 ACM student member
  2. 2 ACM member
Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Ano de publicación: 2015

Volume: 4

Número: 4

Páxinas: 23-34

Tipo: Artigo

DOI: 10.14201/ADCAIJ2015442334 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Resumo

Nowadays, the vertiginous progress of technology has led society to demand lower response times in general, but in press in particular. For this reason, media groups have to face a big challenge in order to facilitate their employees the technical means that enable professionals in the media sector to face the new communication models. In this article, we face this problem and present a novel system based on Virtual Organizations of agents and Cloud Computing in order to improve the organization, management and distribution of media contents.

Referencias bibliográficas

  • Annunziato, M., & Pierucci, P. (2003). The emergence of social learning in artificial societies. In Applications of evolutionary computing (pp. 467-478). Springer Berlin Heidelberg.
  • http://dx.doi.org/10.1007/3-540-36605-9_43
  • Argente, E., Julian, V., and Botti, V. (2009). Mas modeling based on organizations. In Luck, M. and Gomez-Sanz, J., editors, Agent-Oriented Software Engineering IX, volume 5386 of Lecture Notes in Computer Science, pages 16–30. Springer Berlin Heidelberg.
  • http://dx.doi.org/10.1007/978-3-642-01338-6_2
  • Artikis, A., Kamara, L., & Pitt, J. (2001). Towards an open agent society model and animation. In Proceedings of the Agent-Based Simulation II workshop, Passau (pp. 48-55).
  • Davidsson, P., & Johansson, S. (2006). On the potential of norm-governed behavior in different categories of ar-tificial societies. Computational & Mathematical Organization Theory, 12(2-3), 169-180.
  • http://dx.doi.org/10.1007/s10588-006-9542-x
  • Ferber, J., Gutknecht, O., & Michel, F. (2004). From agents to organizations: an organizational view of multi-agent systems. In Agent-Oriented Software Engineering IV (pp. 214-230). Springer Berlin Heidelberg.
  • http://dx.doi.org/10.1007/978-3-540-24620-6_15
  • Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008, November). Cloud computing and grid computing 360-degree compared. In Grid Computing Environments Workshop, 2008. GCE'08 (pp. 1-10). Ieee.
  • Ishida, T., Nadamoto, A., Murakami, Y., Inaba, R., Shigenobu, T., Matsubara, S., & Tsunokawa, E. (2008). A non-profit operation model for the language grid. In International Conference on Global Interoperability for Language Resources (pp. 114-121).
  • Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (draft). NIST special publication, 800(145), 7.
  • OpenStack documentation page. In: http://docs.openstack.org/ [Last access 20/01/2015].
  • Rubio, J. L. (2009). La demanda de los periódicos impresos y online: un análisis eco-nómico. Ambitos: Revista internacional de comunicación, (18), 29-39.
  • Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2008). A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Communication Re-view, 39(1), 50-55.
  • http://dx.doi.org/10.1145/1496091.1496100
  • Wooldridge, M., Jennings, N. R., & Kinny, D. (2000). The Gaia methodology for agent-oriented analysis and de-sign. Autonomous Agents and Multi-Agent Systems, 3(3), 285-312.
  • http://dx.doi.org/10.1023/A:1010071910869