The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Challenges and Research Directions in Agent-Oriented Software Engineering
Open accessAbstract
Agent-based computing is a promising approach for developing applications in complex domains. However, despite the great deal of research in the area, a number of challenges still need to be faced (i) to make agent-based computing a widely accepted paradigm in software engineering practice, and (ii) to turn agent-oriented software abstractions into practical tools for facing the complexity of modern application areas. In this paper, after a short introduction to the key concepts of agent-based computing (as they pertain to software engineering), we characterise the emerging key issues in multiagent systems (MASs) engineering. In particular, we show that such issues can be analysed in terms of three different “scales of observation”, i.e., in analogy with the scales of observation of physical phenomena, in terms of micro, macro, and meso scales. Based on this characterisation, we discuss, for each scale of observation, what are the peculiar engineering issues arising, the key research challenges to be solved, and the most promising research directions to be explored in the future.
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The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
Artificial intelligence: a modern approach
(1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 21,974
The Structure of Scientific Revolutions: 50th Anniversary Edition
Kuhn, T. S., & Hacking, I. (2012) · doi:10.7208/chicago/9780226458144.001.0001 · Cited by 21,170
Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,583
Berners-Lee, T., Hendler, J., & Lassila, O. (2001) · Scientific American · doi:10.1038/scientificamerican0501-34 · Cited by 8,651
The Grid 2: Blueprint for a New Computing Infrastructure
Foster, I. T., & Kesselman, C. (1998) · Cited by 7,637
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Rowstron, A., & Druschel, P. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45518-3_18 · Cited by 7,276
The vision of autonomic computing
Kephart, J. O., & Chess, D. M. (2003) · Computer · doi:10.1109/mc.2003.1160055 · Cited by 6,572
Error and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,467
Cited by
Developing pervasive multi-agent systems with nature-inspired coordination
Zambonelli, F., Omicini, A., Anzengruber, B., Castelli, G., De Angelis, F. L., Serugendo, G. D. M., Dobson, S., Fernandez-Marquez, J. L., Ferscha, A., Mamei, M., et al. (2015) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2014.12.002 · Cited by 96
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Metadata
- Authors
- Zambonelli, F., & Omicini, A.
- Venue
- Autonomous Agents and Multi-Agent Systems
- Published
- 2004-11
- Volume
- 9
- Issue
- 3
- Pages
- 253-283
- ISSN
- 1387-2532 (ISSN-L)
- 1573-7454
- OpenAlex
- W1980206868
- Cited by
- 253
- References
- 78
- FWCI
- 21.35
- Type
- journal article
- Language
- en
- Open access
- green
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