Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware

By Eduardo Sanchez, D. Mange, Moshe Sipper, Marco Tomassini, A. Pérez-Uribe, A. Stauffer. 1996

Living beings are complex systems exhibiting a range of desirable qualifications that have eluded realization by traditional engineering methodologies. In recent years we are witness to a growing interest in Nature exhibited by engineers, wishing to imitate the observed processes, thereby creating powerful problem-solving methodologies. If one considers Life on earth since its very beginning, three levels of organization can be distinguished: the phylogenetic level concerns the temporal evolution of the genetic programs within individuals and species, the ontogenetic level concerns the developmental process of a single multicellular organism, and the epigenetic level concerns the learning processes during an individual organism's lifetime. In analogy to Nature, the space of bioinspired systems can be partitioned along these three axes, phylogeny, ontogeny, and epigenesis, giving rise to the POE model. This paper is an exposition and examination of bio-inspired systems within the POE framework. We first discuss each of the three axes separately, considering the systems created to date and plotting directions for continued progress along the axis in question. We end our exposition by a discussion of possible research directions, involving the construction of bio-inspired systems that are situated along two, and ultimately all three axes. This presents a vision for the future which will see the advent of novel systems, inspired by the powerful examples provided by Nature.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Thus, it is no surprise that scientists have modeled artiﬁcial systems to reproduce such phenomena (Sanchez et al., 1996; Sipper et al., 1997; Dawkins, 2003).”
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems (1997, methodology): “3The POE model was recently used to classify all the works presented at a conference on evolvable systems [3].”