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Database Description
The SWARMS database was created to provide a guided
source for papers useful to engineers, applied mathematicians, robotocists
and others interested in using the biological literature to create
artificial networks. Each paper added to the database has been screened by
biologists familiar with the relevant literature and the goals of
researchers developing and studying behavior in artificial groups.
The database is intended to be selective rather than
comprehensive. It is straightforward to get a comprehensive list of papers
through searches using Web of Science and other non-curated resources. Here
the intention is to screen the literature and find particularly useful
papers. To aid identification of relevant papers, each paper is categorized
according to behavior types, and the attribute of the behavior being
studied, and other sorting keys, to make it easier to collect papers that
share themes of interests to artificial networks. The listing for each
paper includes commentary that describes the characteristics of the paper
which merited its inclusion in the database. These comments are meant to
complement and provide context for the other information displayed including
the abstract and a link to the paper itself (NB: To maintain adherence to
copyright laws, access to the paper will depend on journal permissions
status at your institution).
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