The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An Introduction to Multi-Agent Systems
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
A Comprehensive Survey of Multiagent Reinforcement Learning
Busoniu, L., Babuska, R., & De Schutter, B. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.913919 · Cited by 2,235
Multiagent systems: A survey from a machine learning perspective
Stone, P., & Veloso, M. (2000) · Autonomous Robots · doi:10.1023/a:1008942012299 · Cited by 1,218
Cited by
Empathy in Virtual Agents and Robots: A Survey
Paiva, A., Leite, I., Boukricha, H., & Wachsmuth, I. (2017) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2912150 · Cited by 361
Smart health: Big data enabled health paradigm within smart cities
Pramanik, M. I., Lau, R. Y. K., Demirkan, H., & Azad, M. A. K. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.06.027 · Cited by 341
Introduction to Energy Systems Modelling
Herbst, A., Toro, F., Reitze, F., & Jochem, E. (2012) · Swiss Journal of Economics and Statistics · doi:10.1007/bf03399363 · Cited by 290
Artificial Intelligence in Government: Taking Stock and Moving Forward
Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023) · Social Science Computer Review · doi:10.1177/08944393211034087 · Cited by 159
Metadata
- Authors
- Balaji, P. G., & Srinivasan, D.
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 1-27
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W1903683453
- Cited by
- 1,376
- References
- 3
- FWCI
- 180.05
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Introduction to Multi-Agent Systems. https://app.cochat.ai/papers/10.1007/978-3-642-14435-6_1
- The paper
- Balaji, P. G., & Srinivasan, D. (2010). An Introduction to Multi-Agent Systems. Studies in Computational Intelligence. https://doi.org/10.1007/978-3-642-14435-6_1
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.