The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Experiences with an architecture for intelligent, reactive agents
Abstract
This paper describes an implementation of the 3T robot architecture which has been under development for the last eight years. The architecture uses three levels of abstraction and description languages which are compatible between levels. The makeup of the architecture helps to coordinate planful activities with real-time behaviours for dealing with dynamic environments. In recent years, other architectures have been created with similar attributes but two features distinguish the 3T architecture: (1) a variety of useful software tools have been created to help implement this architecture on multiple real robots; and (2) this architecture, or parts of it, have been implemented on a variety of very different robot systems using different processors, operating systems, effectors and sensor suites.
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Citations
Cites
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
Proceedings. 1985 IEEE International Conference on Robotics and Automation
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2009 International Joint Conference on Artificial Intelligence
(2009) · doi:10.1109/jcai15434.2009 · Cited by 2,800
SOAR: An Architecture for General Intelligence
Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90050-6 · Cited by 2,535
2000 IEEE International Conference on Robotics and Automation
康史, 八. (2000) · システム/制御/情報 : システム制御情報学会誌 · doi:10.11509/isciesci.44.9_543 · Cited by 1,071
Motor Schema — Based Mobile Robot Navigation
Arkin, R. C. (1989) · The International Journal of Robotics Research · doi:10.1177/027836498900800406 · Cited by 1,002
A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations
Kuipers, B., & Byun, Y.-T. (1991) · Robotics and Autonomous Systems · doi:10.1016/0921-8890(91)90014-c · Cited by 707
An investigation into reactive planning in complex domains
Firby, R. J. (1987) · National Conference on Artificial Intelligence · Cited by 468
An architecture for adaptive intelligent systems
Hayes-Roth, B. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(94)00004-k · Cited by 403
Adaptive execution in complex dynamic worlds
Firby, R. J. (1989) · Cited by 385
Cited by
Human–Robot Interaction: A Survey
Goodrich, M. A., & Schultz, A. C. (2008) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000005 · Cited by 1,541
Cognitive architectures: Research issues and challenges
Langley, P., Laird, J. E., & Rogers, S. (2009) · Cognitive Systems Research · doi:10.1016/j.cogsys.2006.07.004 · Cited by 728
40 years of cognitive architectures: core cognitive abilities and practical applications
Kotseruba, I., & Tsotsos, J. K. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-018-9646-y · Cited by 539
Deliberation for autonomous robots: A survey
Ingrand, F., & Ghallab, M. (2017) · Artificial Intelligence · doi:10.1016/j.artint.2014.11.003 · Cited by 309
Robot task planning and explanation in open and uncertain worlds
Hanheide, M., Göbelbecker, M., Horn, G. S., Pronobis, A., Sjöö, K., Aydemir, A., Jensfelt, P., Gretton, C., Dearden, R., Janicek, M., et al. (2017) · Artificial Intelligence · doi:10.1016/j.artint.2015.08.008 · Cited by 145
Metadata
- Authors
- Peter Bonasso, R., James Firby, R., Gat, E., Kortenkamp, D., Miller, D. P., & Slack, M. G.
- Venue
- Journal of Experimental & Theoretical Artificial Intelligence
- Publisher
- Informa UK Limited
- Published
- 1997-04
- Volume
- 9
- Issue
- 2-3
- Pages
- 237-256
- ISSN
- 0952-813X (ISSN-L)
- 1362-3079
- OpenAlex
- W2069503920
- Cited by
- 601
- References
- 22
- FWCI
- 46.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Peter Bonasso, R., James Firby, R., Gat, E., Kortenkamp, D., Miller, D. P., & Slack, M. G. (1997). Experiences with an architecture for intelligent, reactive agents. Journal of Experimental & Theoretical Artificial Intelligence. https://doi.org/10.1080/095281397147103
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.