Mark A. Bedau, Editor
Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems such as:
- Artificial chemistry and the origins of life
- Self-assembly, growth, and development
- Self-replication and self-repair
- Systems and synthetic biology
- Perception, cognition, and behavior
- Embodiment and enactivism
- Collective behaviors of swarms
- Evolutionary and ecological dynamics
- Open-endedness and creativity
- Social organization and cultural evolution
- Societal and technological implications
- Philosophy and aesthetics
- Applications to biology, medicine, business, education, or entertainment
The journal shapes and chronicles the development of artificial life, extending the horizons of biological research beyond life-as-we-know-it and into the domain of life-as-it-could-be.
Artificial Life is the official journal of the International Society for Artificial Life (ISAL). A subscription to Artificial Life includes an ISAL membership.
- #12 in Evolutionary Computation (2018 Google Scholar Metrics)
- Impact Factor: 1.608 (2018 Journal Citation Report, Science Edition)
Artificial Life offers access to corrected proofs of articles before they are published. Learn more about Early Access.
Artificial Life Logo Image Credit: Image of simulation of starling flocks "StarDisplay" by Hanno Hildenbrandt and Charlotte Hemelrijk.
Forthcoming in Artificial Life Vol. 26, No. 1, Winter February
The articles listed in this table of contents may be available under the Early Access tab.
GUEST EDITOR’S INTRODUCTION TO THE ALIFE 2018 SPECIAL ISSUE
An investigation into the origin of autopoiesis
Randall D. Beer
How computational experiments can improve our understanding of the genetic architecture of common human diseases
Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen and Elisabetta Manduchi
The complexity raTchet: Stronger than selection, stronger than evolvability, weaker than robustness
Vincent Liard, David P. Parsons, Jonathan Rouzaud-Cornabas and Guillaume Beslon
Interpreting the Tape of Life: Ancestry-based Analyses Provide Insights and Intuition about Evolutionary Dynamics
Emily Dolson, Alexander Lalejini, Steven Jorgensen and Charles Ofria
Autonomously moving pine-cone robots: Using pine cones as natural hygromorhic actuators and as components of mechanisms
Juntaro Tamaru, Toshiya Yui, Tomoko Hashida
Death and Progress: How Evolvability is Influenced by Intrinsic Mortality
Frank Veenstra, Pablo González de Prado Salas, Kasper Stoy, Josh Bongard and Sebastian Risi
Evolution Towards Criticality in Ising-Neural Agents
Sina Khajehabdollahi and Olaf Witkowski
Neural Autopoiesis: Organizing self-boundary by stimulus avoidance in biological and artificial neural networks
Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi and Takashi Ikegami