Context-Aware Multi-Agent Systems: Negotiating Intensive Fields
Rodrigo Shiordia López, David Jason Gerber · 2014
This paper presents research into a technique using context-aware agent based branching L-systems to design explore an urban development scheme in an area of peripheral Mexico City.The design research demonstrates a viable approach to engaging design with specific agent driven objectives that negotiate across highly differentiated fields of data sets.These data sets are the driving force behind this technique, to generate highly differentiated infrastructure and urban networks that are simulated to be autonomous and emergent.The described system consists of simulated robotic autonomous agents that sample and negotiate across data from the site, and react to differences in order to deploy an irrigation network for a polluted and highly saline former lake-bed east of Mexico City.