Current design processes are all generally similar in approach, but none yet address sustainability directly. When sustainable design is pursued, bio-inspired design or biomimicry are invariably used. These approaches attempt to reuse principles found in nature to conceptualize artifact designs. However, sustainable design approaches have yet to be integrated into typical design
processes as they occur in practice; these methods generally work by seeking solutions only on a
case-by-case basis. As a result, sustainable design methods like biomimicry tend to be used as ancillary or "after the fact" techniques. To fully integrate sustainability into design processes, the authors believe we must look more deeply at the processes that occur in nature and that have led to
the organisms often referred to in biomimicry and related methods.
The authors’ study of natural evolutionary processes has led them to believe that there is significant similarity in the way successive generations of artifacts and organisms change. We found that
we could describe processes in generic terms that applied equally well to natural evolution and the
way that artifacts change over time: that is to say, we found an analogy between generational
changes in artifacts and in organisms. The authors are now delving into more detail, and are finding that the analogy can extend to cover natural selection, mutation, and genetic structures. A detailed explanation of this analogy, working at several different levels, is given in this paper. Furthermore, natural and artificial lifecycle processes are shown to be nearly identical.
Since the analogy appears to hold well at many levels of detail, the authors propose to create a genetic structure (a genome) for artifacts. We contend that such a structure would be useful for designers. For example, we find that using the structure of the analogy as a guide can help reduce
complexity of design problems. Also, we show that the artificial “genes” lend themselves to description via pattern languages, which are also known to reduce problem complexity. We hypothesize that using pattern languages to represent an artificial genome for designed artifacts will result
in a useful, more holistic approach to sustainable design - one that is literally inspired by nature.