Abstract
This study investigates the content of the literature published in the proceedings of the International Conference on Principles and Practices of Multi-Agent Systems (PRIMA). Our study is based on a corpus of the 611 papers published in eighteen PRIMA proceedings from 1998 (when the conference started) to 2015. We have developed an unsupervised topic model, using Latent Dirichlet Allocation (LDA), over the PRIMA corpus of papers to analyze popular topics in the literature published at PRIMA in the past eighteen years. We have also analyzed historical trends and examine the strength of each topic over time.
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The conference’s abbreviation is still PRIMA.
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Dam, H.K., Ghose, A. (2016). Analyzing Topics and Trends in the PRIMA Literature. In: Baldoni, M., Chopra, A., Son, T., Hirayama, K., Torroni, P. (eds) PRIMA 2016: Principles and Practice of Multi-Agent Systems. PRIMA 2016. Lecture Notes in Computer Science(), vol 9862. Springer, Cham. https://doi.org/10.1007/978-3-319-44832-9_13
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DOI: https://doi.org/10.1007/978-3-319-44832-9_13
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