The creation of artificial life from studies of natural living organisms requires a systematic collation of information relating to their preferences and behaviours in response to the benefits of, and threats from localised flora and fauna, in conjunction with the parallel impact of environmental change. The procedure of synthesising organisms from this knowledge into computational models of life necessitates the generalisation and distillation of their behaviours into algorithmic rules. In particular, the study of artificial life-based models of vegetation has demonstrated that these rules, distilled from vegetation life in combination with real botanical properties, provide evidence of dispersal patterns and characteristics comparable to that of their natural counterparts.
Seeder Engine is a Framework for the fusion of Virtual Reality (VR) and Artificial Life (ALife). Seeder Engine is created for the exploration, investigation, interpretation, prediction and visualisation of ancient landscapes. The framework for research in virtual heritage leverages the concept of emergence in Complex Adaptive Systems (CAS) for determining vegetation distribution patterns across landscapes. Thus far, the Artificial Plants imparted with behaviours of vegetation life cycle, growth, competition, reproduction and germination have demonstrated identifiable correlations with their natural counterpart in the distribution patterns.
Growth, Reproduction and Competition Among Species