Please use this identifier to cite or link to this item:
https://doi.org/10.1007/978-3-642-14435-6_2
DC Field | Value | |
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dc.title | Hybrid multi-agent systems | |
dc.contributor.author | Srinivasan, D. | |
dc.contributor.author | Choy, M.C. | |
dc.date.accessioned | 2014-10-07T04:29:55Z | |
dc.date.available | 2014-10-07T04:29:55Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Srinivasan, D.,Choy, M.C. (2010). Hybrid multi-agent systems. Studies in Computational Intelligence 310 : 29-42. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-14435-6_2" target="_blank">https://doi.org/10.1007/978-3-642-14435-6_2</a> | |
dc.identifier.isbn | 9783642144349 | |
dc.identifier.issn | 1860949X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/82482 | |
dc.description.abstract | Hybrid systems have grown tremendously in the past few years due to their abilities to offset the demerits of one technique by the merits of another. This chapter presents a number of computational intelligence techniques which are useful in the implementation of hybrid multi-agent systems. A brief review of the applications of the hybrid multi-agent systems is presented. © 2010 Springer-Verlag Berlin Heidelberg. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-14435-6_2 | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1007/978-3-642-14435-6_2 | |
dc.description.sourcetitle | Studies in Computational Intelligence | |
dc.description.volume | 310 | |
dc.description.page | 29-42 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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