The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Distributed intelligence: overview of the field and its application in multi-robot systems
Open accessAbstract
This article overviews the concepts of distributed intelligence, outlining the motivations for studying this field of research.First, common systems of distributed intelligence are classified based upon the types of interactions exhibited, since the type of interaction has relevance to the solution paradigm to be used.We outline three common paradigms for distributed intelligence -the bioinspired paradigm, the organizational and social paradigm, and the knowledge-based, ontological paradigm -and give examples of how these paradigms can be used in multi-robot systems.We then look at a common problem in multirobot systems -that of task allocation -and show how the solution approach to this problem is very different depending upon the paradigm chosen for abstracting the problem.Our conclusion is that the paradigms are not interchangeable, but rather the selection of the appropriate paradigm is dependent upon the specific constraints and requirements of the application of interest.Further work is needed to provide guidance to the system designer on selecting the proper abstraction, or paradigm, for a given problem.
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Cites
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 2×
“The behavioristic approach to autonomous robot control that gained popularity beginning in the 1980’s [13] has its roots”
BackgroundMultiagent systems: A survey from a machine learning perspective
Stone, P., & Veloso, M. (2000) · Autonomous Robots · doi:10.1023/a:1008942012299 · Cited by 1,218
Collective Robotics: From Social Insects to Robots
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From Local Actions to Global Tasks: Stigmergy and Collective Robotics
Beckers, R., Holland, O. E., & Deneubourg, J. L. (1994) · Artificial Life IV · doi:10.7551/mitpress/1428.003.0022 · Cited by 282
Cited by
Maza, I., Caballero, F., Capitán, J., Martínez-de-Dios, J. R., & Ollero, A. (2011) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-010-9497-5 · Cited by 405
The role of roles: Physical cooperation between humans and robots
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., & Hirche, S. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364912455366 · Cited by 284
Decision Making in Multiagent Systems: A Survey
Rizk, Y., Awad, M., & Tunstel, E. W. (2018) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2018.2840971 · Cited by 219
Distributed resource scheduling in edge computing: Problems, solutions, and opportunities
Sahni, Y., Cao, J., Yang, L., & Wang, S. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109430 · Cited by 38
Metadata
- Authors
- Parker, L. E.
- Venue
- Journal of Physical Agents (JoPha)
- Published
- 2008
- Volume
- 2
- Issue
- 1
- Pages
- 5-14
- ISSN
- 1888-0258 (ISSN-L)
- OpenAlex
- W2122277562
- Cited by
- 245
- References
- 5
- FWCI
- 24.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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