directed by Alisa Andrasek
design+computation::probotics student team: Knut Brunier/Diego Rossel/Jose Sanchez/Anica Taneja
special thanks to DRL // Architectural Association London ///////////////
In recent years architecture has gained access to generative methods with large populations of agents via explicit application of scripting and programming in design process. Large data sets carry twofold potential_ one in establishing explicit connection between built fabrics and external input data, addressing increasing complexity of constructed environments and their capacity for adaptation. The other is in the emerging phenomena is in changing the quality and nature of designs. Different kinds of design sensibility is emerging from such context with many possible applications… The more is not just more _ the more is different… The study of emergence, where individual agents work in conjunction with their “host” environments and in collaboration with other simple agents towards higher order complexity, is leading towards new kinds of structural, organizational, spatial and esthetic behaviors. Discreet agents are interlinked by micro-transactions taking place over a vast territory and dealing with the emergent pressures within environment, global migratory patterns and complexified programming. Such context reflects self-regulatory patterns found in natural ecosystems, which contemporary science, engineering and architecture are only starting to learn from. This emergent intelligence is being encapsulated as series of proto-patterns capable of rewriting existing protocols in architecture, including long inability of the field to productively and creatively address acute issues of sustainability. Increasing the material resolution and levels of information while having access to the coding of material/structural/ organizational behaviors increases the ability of designed systems to respond, feedback, learn and adapt to the “host” conditions. Such approach is narrowing the gap between the power of abstraction (computation) and materialization. Increased “resolution” allows programming of molecular transactions rather than totality of deterministic design/planning.
Agents are programmed bottom-up through simple interactions of alignment, cohesion and separation and variable values of their spring connections such as mass, dampening and stiffness. Self-organizing populations of agents are interlaced through different hierarchies and their interactions are run through variable durations parametrizing rhythmic interactions within the system. Within the agent systems color is used as information to denote different states. Even though the agents share their DNA, different events can trigger different genes and enable change of states and as a result performing differently. Color is used as a feedback mechanism triggering different interactions.
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