作者: Cynthia Marie Nikolai , Gregory Madey
DOI:
关键词: Search engine indexing 、 Publicity 、 Data science 、 Specialization (functional) 、 Multi-agent system 、 Computer science 、 Domain (software engineering) 、 Word of mouth 、 Artificial intelligence
摘要: Agent Based Modeling (ABM) toolkits are as diverse the community of people who use them. With so many available, choice which one is best suited for a project left to word mouth, past experiences in using particular and toolkit publicity. This especially troublesome projects that require specialization. Rather than most publicized but designed general projects, this paper, will be able choose already exists may built one's domain specialized needs. In we examine entire continuum agent based toolkits. We characterize each on 5 important characteristics users consider when choosing toolkit, then categorize into user-friendly taxonomies aid rapid indexing easy reference.