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Cited by 481

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

MULTIAGENT SYSTEMS ENGINEERING

DELOACH, SCOTT A., WOOD, MARK F., SPARKMAN, CLINT H.·2001·International Journal of Software Engineering and Knowledge Engineering

Abstract

This paper describes the Multiagent Systems Engineering (MaSE) methodology. MaSE is a general purpose, methodology for developing heterogeneous multiagent systems. MaSE uses a number of graphically based models to describe system goals, behaviors, agent types, and agent communication interfaces. MaSE also provides a way to specify architecture-independent detailed definition of the internal agent design. An example of applying the MaSE methodology is also presented.

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Crossref · 10.1142/s0218194001000542

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Metadata

Authors
DELOACH, S. A., WOOD, M. F., & SPARKMAN, C. H.
Venue
International Journal of Software Engineering and Knowledge Engineering
Published
2001-06
Volume
11
Issue
03
Pages
231-258
ISSN
  • 0218-1940 (ISSN-L)
  • 1793-6403
OpenAlex
W2029831238
Cited by
481
References
8
FWCI
26.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MULTIAGENT SYSTEMS ENGINEERING. https://app.cochat.ai/papers/10.1142/s0218194001000542
The paper
DELOACH, S. A., WOOD, M. F., & SPARKMAN, C. H. (2001). MULTIAGENT SYSTEMS ENGINEERING. International Journal of Software Engineering and Knowledge Engineering. https://doi.org/10.1142/s0218194001000542

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.