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A Semantic-based Multi-agent Dynamic Interaction Model

Published: 11 November 2020 Publication History

Abstract

Due to the autonomy of agents and their ability to perceive the environment, multi-agent systems have been widely used in many fields. The design of multi-agent systems requires the support of interactive models. The traditional multi-agent interaction model has certain feasibility in solving specific tasks. However, in a distributed environment, a relatively static multi-agent interaction model is not sufficient to support a dynamically changing interaction process. Frequent data interactions will also consume resources of multi-agent systems, thereby reducing agent performance. In this study, we propose a semantic-based multiagent dynamic interaction model (MADIM). MADIM uses semantic ontology to map the objects in the interaction model, and defines the interaction protocol through the rule description language. This model is attached with dynamically configurable semantic templates and interaction rule base. We added a reusable dynamic resolution engine component to MADIM to provide dynamic resolution services for the semantic information in the model. MADIM supports dynamic interactive behavior and has good interoperability and interpretability. Our model provides a flexible solution to the multi-agent interaction process. Finally, we verified the feasibility of the model design scheme through a simple example.

References

[1]
M. A. Laouadi, F. Mokhati and H. Seridi-Bouchelaghem, "Towards an organizational model for Real Time Multi-Agent System specification," 2013 Science and Information Conference, London, 2013, pp. 577--584.
[2]
K. Hwang, C. Hsieh and W. Jiang, "Knowledge sharing approaches for distributed agents system," 2017 International Conference on Advanced Robotics and Intelligent Systems (ARIS), Taipei, 2017, pp. 59--61.
[3]
Lin Zishen, Li Wei and Li Maoqing, "Modeling decision and cooperation of multi-agent system using Petri net," 2009 4th International Conference on Computer Science & Education, Nanning, 2009, pp. 643--646.
[4]
D. Sislak, M. Rehak and M. Pechoucek, "A-globe: multiagent platform with advanced simulation and visualization support," The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), Compiegne, France, 2005, pp. 805--808.
[5]
Dellacqua, Pierangelo, Ulf Nilsson, and Luis Moniz Pereira. "A logic based asynchronous multi-agent system." Electronic Notes in Theoretical Computer Science 70.5 (2002): 72--88.
[6]
Tran, Quynh Nhu Numi, and G. Low. "MOBMAS: A methodology for ontology-based multi-agent systems development." Information and software technology 50.7-8(2008):p.697--722.
[7]
A. G. Neiat, M. Mohsenzadeh, R. Forsati and A. M. Rahmani, "An Agent-based Semantic Web Service Discovery Framework," 2009 International Conference on Computer Modeling and Simulation, Macau, 2009, pp. 194--198.
[8]
S. Wilk et al., "Aligning Interdisciplinary Healthcare Team Behavior with Workflow Execution: An Example of a Radical Prostatectomy Workflow," 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), Dublin, 2016, pp. 112--117.
[9]
L. Xiao, J. Fox and H. Zhu, "An Agent-Oriented Approach to Support Multidisciplinary Care Decisions," 2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems, Budapest, 2013, pp. 8--17.
[10]
Wu Wen and F. Mizoguchi, "Analysis and verification of multi-agent interaction protocols," Proceedings Sixth Asia Pacific Software Engineering Conference (ASPEC'99) (Cat. No.PR00509), Takamatsu, Japan, 1999, pp. 252--259.
[11]
C. -. Liu, K. -. Chang, J. J. -. Chen and S. -. Hung, "Ontology-Based Context Representation and Reasoning Using OWL and SWRL," 2010 8th Annual Communication Networks and Services Research Conference, Montreal, QC, 2010, pp. 215--220.
[12]
T. L. Saaty, "Decision making for leaders," in IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-15, no. 3, pp. 450--452, May-June 1985.
[13]
Wu, D. J., and Y. Sun. "Cooperation in multi-agent bidding." Decision Support Systems 33.3(2002):p.335--347.

Cited By

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  • (2024)Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge ComputingCognitive Computation and Systems10.1007/978-981-97-0885-7_24(292-303)Online publication date: 25-Feb-2024

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cover image ACM Other conferences
WSSE '20: Proceedings of the 2nd World Symposium on Software Engineering
September 2020
329 pages
ISBN:9781450387873
DOI:10.1145/3425329
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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  • Wuhan Univ.: Wuhan University, China
  • University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

New York, NY, United States

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Published: 11 November 2020

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Author Tags

  1. Grouping
  2. Interaction model
  3. Multi-agent system
  4. Protocol
  5. Semantic rules

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Cited By

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  • (2024)Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge ComputingCognitive Computation and Systems10.1007/978-981-97-0885-7_24(292-303)Online publication date: 25-Feb-2024

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