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An ontology-based approach to interoperability for Bayesian agents

Published: 14 May 2007 Publication History

Abstract

This paper presents an ontology-based approach to promote the interoperability among agents that represent their knowledge through Bayesian networks. This research relies on semantic web foundations to achieve knowledge interoperability in the context of multiagent systems. Our first step was the specification of an ontology that formalizes the structures of the Bayesian network representation. Once handled the issue of the knowledge representation, we specify how a Bayesian agent operates such representation. Thus, we define a model of internal architecture to support Bayesian agents in the knowledge sharing and maintenance tasks.

References

[1]
R. G. Cowell, A. P. Dawid, S. L. Lauritzen, and D. J. Spiegelhalter. Probabilistic Networks and Expert Systems. Springer Verlag, 1999.
[2]
E. R. Santos, E. Boff, and R. M. Vicari. Semantic web technologies applied to interoperability on an educational portal. In Intelligent Tutoring Systems, 8th International Conference, volume 4053, pages 308--317. Springer, 2006.
[3]
R. M. Vicari, C. D. Flores, A. M. Silvestre, L. J. Seixas, M. Ladeira, and H. Coelho. A multi-agent intelligent environment for medical knowledge. Artificial Intelligence in Medicine, 27(3):335--366, 2003.

Cited By

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  • (2017)A Systematic Literature Review on Combining Ontology with Bayesian Network to Support Logical and Probabilistic ReasoningProceedings of the 2017 International Conference on Software and e-Business10.1145/3178212.3178223(1-12)Online publication date: 28-Dec-2017
  • (2009)Deliberation Process in a BDI Model with Bayesian NetworksAgent Computing and Multi-Agent Systems10.1007/978-3-642-01639-4_18(207-218)Online publication date: 21-Apr-2009
  • (2009)Autonomous Artificial Intelligent Agents for Bayesian RoboticsInternational Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008)10.1007/978-3-540-85863-8_30(250-258)Online publication date: 2009
  • Show More Cited By

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Published In

cover image ACM Other conferences
AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
May 2007
1585 pages
ISBN:9788190426275
DOI:10.1145/1329125
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2007

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Author Tags

  1. Bayesian networks
  2. agent architecture
  3. interoperability
  4. ontology
  5. semantic web

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2017)A Systematic Literature Review on Combining Ontology with Bayesian Network to Support Logical and Probabilistic ReasoningProceedings of the 2017 International Conference on Software and e-Business10.1145/3178212.3178223(1-12)Online publication date: 28-Dec-2017
  • (2009)Deliberation Process in a BDI Model with Bayesian NetworksAgent Computing and Multi-Agent Systems10.1007/978-3-642-01639-4_18(207-218)Online publication date: 21-Apr-2009
  • (2009)Autonomous Artificial Intelligent Agents for Bayesian RoboticsInternational Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008)10.1007/978-3-540-85863-8_30(250-258)Online publication date: 2009
  • (2007)An Intelligent Tutoring System (ITS) view on AOSEInternational Journal of Agent-Oriented Software Engineering10.1504/IJAOSE.2007.0162641:3/4(295-333)Online publication date: 1-Dec-2007
  • (2007)Interoperable Bayesian Agents for Collaborative LearningSeventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)10.1109/ICALT.2007.172(530-532)Online publication date: Jul-2007

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