Multiagent model for agile context inference based on artificial immune systems and sparse distributed representations
作者： Radu-Casian Mihailescu , Paul Davidsson , Jan Persson
DOI: 10.1007/978-3-319-33509-4_7
关键词: Scope (project management) 、 Context (language use) 、 Key (cryptography) 、 Agile software development 、 Machine learning 、 Computer science 、 Artificial immune system 、 Building automation 、 Artificial intelligence 、 Position paper 、 Inference 、 Data science
摘要: The ubiquity of sensor infrastructures in urban environments poses new challenges managing the vast amount data being generated and even more importantly, deriving insights that are relevant actionable to its users stakeholders. We argue understanding context which people things connected interacting is key importance this end. In position paper, we present ongoing work design a multiagent model based on immunity theory concepts with scope enhancing sensor-driven architectures context-aware capabilities. aim demonstrate our approach real-world scenario for processing streams smart building.
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