Robustness in artificial life

Robustness in artificial life

Finding robust explanations of behaviours in Alife and related fields is made difficult by the lack of any formalised definition of robustness. A concerted effort to develop a framework which allows for robust explanations of those behaviours to be developed is needed, as well as a discussion of what constitutes a potentially useful definition for behavioural robustness. To this end, we describ...

Artificial Life 3 Artificial Life

Artificial Life is the study of all phenomena of the living world through their reproduction in artificial systems. We argue that Artificial Life models of evolution and development offer a new set of theoretical and methodological tools for investigating Piaget's ideas. The concept of an Artificial Life Neural Network (ALNN) is first introduced, and contrasted with the study of other recent ap...

Empiricism in Artificial Life

Strong artificial life research is often thought to rely on Alife systems as sources of novel empirical data. It is hoped that by augmenting our observations of natural life, this novel data can help settle empirical questions, and thereby separate fundamental properties of living systems from those aspects that are merely contingent on the idiosyncrasies of terrestrial evolution. Some authors ...

Complexity in Artificial Life

Artificial Life

The notion of artificial life can take many diverse forms, and in this article we will focus on three aspects: modelling the development of structure in living systems, the quest to create artificial intelligence, and the emerging field of synthetic biology. All three topics reveal surprising, and sometimes remarkably deep, connections between the apparently disparate disciplines of biology and...