The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
FLAME—Fuzzy Logic Adaptive Model of Emotions
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Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
Artificial intelligence: a modern approach
(1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 21,974
Fuzzy identification of systems and its applications to modeling and control
Takagi, T., & Sugeno, M. (1985) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1985.6313399 · Cited by 19,592
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,161
(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
Cited by
Narrative Planning: Balancing Plot and Character
Riedl, M. O., & Young, R. M. (2010) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2989 · Cited by 522
Empirically Building and Evaluating a Probabilistic Model of User Affect
Conati, C., & Maclaren, H. (2009) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-009-9062-8 · Cited by 328
Emotions in human and artificial intelligence
Martı́nez-Miranda, J., & Aldea, A. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2004.02.010 · Cited by 254
Emotion in reinforcement learning agents and robots: a survey
Moerland, T. M., Broekens, J., & Jonker, C. M. (2018) · Machine Learning · doi:10.1007/s10994-017-5666-0 · Cited by 205
Evaluating a Computational Model of Emotion
Gratch, J., & Marsella, S. (2005) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-005-1081-1 · Cited by 161
Metadata
- Authors
- El-Nasr, M. S., Yen, J., & Ioerger, T. R.
- Venue
- Autonomous Agents and Multi-Agent Systems
- Published
- 2000-09
- Volume
- 3
- Issue
- 3
- Pages
- 219-257
- ISSN
- 1387-2532 (ISSN-L)
- 1573-7454
- OpenAlex
- W1559672525
- Cited by
- 437
- References
- 70
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: FLAME—Fuzzy Logic Adaptive Model of Emotions. https://app.cochat.ai/papers/10.1023/a:1010030809960
- The paper
- El-Nasr, M. S., Yen, J., & Ioerger, T. R. (2000). FLAME—Fuzzy Logic Adaptive Model of Emotions. Autonomous Agents and Multi-Agent Systems. https://doi.org/10.1023/a%3A1010030809960
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.