Working​ ​generatively​ ​can​ ​be​ ​a​ ​completely​ ​manual​ ​process​ ​of​ ​determining​ ​and​ ​specifying​ ​rules, and​ ​then​ ​exploring​ ​the​ ​possibility​ ​space​ ​they​ ​produce,​ ​or​ ​a​ ​heavily​ ​automated​ ​process​ ​where machine​ ​learning​ ​technologies​ ​take​ ​over​ ​these​ ​tasks,​ ​in​ ​turn​ ​creating​ ​a​ ​new​ ​role​ ​for​ ​the computational​ ​designer.​ ​However,​ ​more​ ​likely​ ​is​ ​that​ ​a​ ​generative​ ​process​ ​lies​ ​somewhere between​ ​these​ ​two​ ​extremes;​ ​designers​ ​pick​ ​up​ ​or​ ​discard​ ​digital​ ​tools​ ​as​ ​needed,​ ​always keeping​ ​in​ ​mind​ ​the​ ​agency​ ​that​ ​software​ ​and​ ​algorithms​ ​bring​ ​to​ ​the​ ​process.​ ​Generating​ ​is not​ ​a​ ​simple,​ ​cause-and-effect​ ​method​ ​with​ ​a​ ​ruleset​ deterministically ​leading​ ​to​ ​a​ ​collection​ ​of​ ​outputs,​ ​from which​ ​one​ ​optimized​ ​solution​ ​is​ selected.​ ​Rather,​ ​it​ ​is​ ​a​ ​complex​ ​feedback​ ​loop​ ​and​ ​negotiation between​ ​the​ ​designer,​ ​their​ ​tools​ ​and​ ​systems,​ and ​the​ ​data​ ​they​ ​create​ ​or​ ​provide. As shown through the Worldmaking case study, the process becomes even richer when multiple human designers work together in a dialectic conversation, generating new possibilities through productive (mis)communication. Working together, and with critical engagement with their tools at ​various​ ​level​s ​of​ ​abstraction​, designers ​may subtly​ and tangibly ​shape​ ​the​ ​holistic​ ​properties​ ​of​ ​systems.

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