GDS is the study of indirect encodings, i.e. indirect mappings between the genotype and phenotype. The aim of such systems is to exploit powerful encodings to compactly represent complex structures and increase the scalability and evolvability of evolutionary algorithms. Traditionally, GDS has focused on mappings that involve a developmental stage, implemented in a variety of ways including re-write systems and cell chemistry simulations, and in some cases is used to gain insight into biological development and aspects thereof. However, GDS concerns a wide range of indirect encodings, including high-level abstractions of biological development and environmental interactions.

The reason for the increasing interest in developmental systems is a spreading belief that predominant forms of computational evolution are incapable of providing us with scalable or self-adaptable solutions to highly complex design and optimization problems. As was the case with evolutionary computation, nature provides the clues; in this case biological development is the source of inspiration and emulation.

Researchers and practitioners likely to attend the workshop include those who have experienced the limitations of ‘pure’ computational evolution and are in or are considering a move into the sub-discipline of Generative & Developmental Systems. There are also others who have a genuine general interest in the nature and promise of development, and who are interested in attending a discussion given by some of the ‘best and brightest’ in evolutionary computation.