Self-Organization and Artificial Life Abstract Self-organization can be broadly defined as the ability of a system to display ordered spatiotemporal patterns solely as the result of the interactions among the system components. Processes of this…
Browsing Categoryartl
Chemobrionics: From
Chemobrionics: From Self-Assembled Material Architectures to the Origin of Life Abstract Self-organizing precipitation processes, such as chemical gardens forming biomimetic micro- and nanotubular forms, have the potential to show us new fundamental science to explore,…
The Surprising Creativity of
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Abstract Evolution provides a creative fount of complex and subtle adaptations that often surprise the scientists…
MetaChem: An Algebraic
MetaChem: An Algebraic Framework for Artificial Chemistries Abstract We introduce MetaChem, a language for representing and implementing artificial chemistries. We motivate the need for modularization and standardization in representation of artificial chemistries. We describe a…
An Investigation into the
An Investigation into the Origin of Autopoiesis Abstract Using a glider in the Game of Life cellular automaton as a toy model of minimal persistent individuals, this article explores how questions regarding the origin of…
Tian-tong Luo
Tian-tong Luo Nanjing Agricultural University Department of Zoology College of Life Sciences Jian-long Zhu Nanjing Agricultural University Department of Zoology College of Life Sciences Trond Reitan University of Oslo Centre for Ecological and Evolutionary Synthesis…
Reinforcement Learning for
Reinforcement Learning for Improving Agent Design David Ha* Google Brain, Tokyo, Japan hadavid@google.com Keywords Neuroevolution, deep reinforcement learning, evolution strategies, generative design In many reinforcement learning tasks, the goal is to learn a Abstract policy…
Can Signal Delay be Functional?
Can Signal Delay be Functional? Including Delay in Evolved Robot Controllers Abstract Engineers, control theorists, and neuroscientists often view the delay imposed by finite signal propagation velocities as a problem that needs to be compensated…
Open-Endedness for the Sake
Open-Endedness for the Sake of Open-Endedness Abstract Natural evolution keeps inventing new complex and intricate forms and behaviors. Digital evolution and genetic algorithms fail to create the same kind of complexity, not just because we…
Alastair Channon
Alastair Channon Keele University School of Computing and Mathematics a.d.channon@keele.ac.uk Keywords Open-ended evolution, biotic selection, ongoing growth of complexity, diversity, indefinite scalability Maximum Individual Complexity is Indefinitely Scalable in Geb Abstract Geb was the first…