Below is the full bibliography of references used in this Encyclopedia. For a searchable version of this bibliography or to export the references in a format of your choice, see the ISAL Zotero Library

A.E. Eiben and J.E. Smith. (2015). Introduction to Evolutionary Computing (2nd ed.). Springer.
Abbass, H. A. (2005). Artificial Life Down Under. Artificial Life, 11(3), 397–399.
Abbott, R. G., Forrest, S., & Pienta, K. J. (2006). Simulating the Hallmarks of Cancer. Artificial Life, 12(4), 617–634.
Ackley, D. H. (2013). Bespoke Physics for Living Technology. Artificial Life, 19(3_4), 347–364.
Ackley, D. H., & Ackley, E. S. (2016). The ulam Programming Language for Artificial Life. Artificial Life, 22(4), 431–450.
Adamatzky, A. (2013). Slimeware: Engineering Devices with Slime Mold. Artificial Life, 19(3_4), 317–330.
Adamatzky, A. (2015). A Would-Be Nervous System Made from a Slime Mold. Artificial Life, 21(1), 73–91.
Adami, C. (1998). Introduction to artificial life. Springer.
Adami, C. (2021). A Brief History of Artificial Intelligence Research. Artificial Life, 27(2), 131–137.
Adami, C. (1994). On Modeling Life. Artificial Life, 1(4), 429–438.
Adami, C. (2021). The evolutionary path to sentient machines column: A brief history of artificial intelligence research. Artificial Life, 27(2), 131–137. Scopus.
Adami, C. (2022). Making Artificial Brains: Components, Topology, and Optimization. Artificial Life, 28(1), 157–166. Scopus.
Adami, C., & Wilke, C. O. (2004). Experiments in Digital Evolution (Editors’ Introduction to the Special Issue). Artificial Life, 10(2), 117–122.
Adami, C., Ofria, C., & Collier, T. C. (2000). Evolution of biological complexity. Proceedings of the National Academy of Sciences, 97(9), 4463–4468.
Agmon, E., Gates, A. J., Churavy, V., & Beer, R. D. (2016). Exploring the Space of Viable Configurations in a Model of Metabolism–Boundary Co-construction. Artificial Life, 22(2), 153–171.
Agmon, E., Gates, A. J., & Beer, R. D. (2016). The Structure of Ontogenies in a Model Protocell. Artificial Life, 22(4), 499–517.
Agmon, E., Egbert, M., & Virgo, N. (2018). The Biological Foundations of Enactivism: A Report on a Workshop Held at Artificial Life XV. Artificial Life, 24(1), 49–55.
Aguilera, M., Bedia, M. G., Seron, F., & Barandiaran, X. E. (2014). Intermittent Animal Behavior: The Adjustment-Deployment Dilemma. Artificial Life, 20(4), 471–489.
Akagi, T. (2006). Maintenance of Environmental Homeostasis by Biota, Selected Nonlocally by Circulation and Fluctuation Mechanisms. Artificial Life, 12(1), 135–152.
Akiyama, E., & Kaneko, K. (1995). Evolution of Cooperation, Differentiation, Complexity, and Diversity in an Iterated Three-Person Game. Artificial Life, 2(3), 293–304.
Altenberg, L. (2005). Evolvability Suppression to Stabilize Far-Sighted Adaptations. Artificial Life, 11(4), 427–443.
Altmeyer, S., Füchslin, R. M., & McCaskill, J. S. (2004). Folding Stabilizes the Evolution of Catalysts. Artificial Life, 10(1), 23–38.
Amir, Y., Abu-Horowitz, A., Werfel, J., & Bachelet, I. (2019). Nanoscale Robots Exhibiting Quorum Sensing. Artificial Life, 25(3), 227–231.
Amos, M., & Webster, J. (2022). Crowd-Sourced Identification of Characteristics of Collective Human Motion. Artificial Life, 28(4), 401–422. Scopus.
Amos, M., Rasmussen, S., McCaskill, J., & Dittrich, P. (2015). Editorial. Artificial Life, 21(2), 193–194.
Ampatzis, C., Tuci, E., Trianni, V., Christensen, A. L., & Dorigo, M. (2009). Evolving Self-Assembly in Autonomous Homogeneous Robots: Experiments with Two Physical Robots. Artificial Life, 15(4), 465–484.
Andersen, T., Newman, R., & Otter, T. (2009). Shape Homeostasis in Virtual Embryos. Artificial Life, 15(2), 161–183.
Anderson, D., & Copeland, B. J. (2002). Artificial Life and the Chinese Room Argument. Artificial Life, 8(4), 371–378.
Andrus, D. C. (2005). Toward a Complex Adaptive Intelligence Community. Studies in Intelligence, 49.
Arita, T., & Koyama, Y. (1998). Evolution of Linguistic Diversity in a Simple Communication System. Artificial Life, 4(1), 109–124.
Armstrong, R. (2015). How do the origins of life sciences influence 21st century design thinking? 2–11.
Armstrong, R. (2010). Systems Architecture: A New Model for Sustainability and the Built Environment using Nanotechnology, Biotechnology, Information Technology, and Cognitive Science with Living Technology. Artificial Life, 16(1), 73–87.
Armstrong, R., & Hanczyc, M. (2013). Bütschli Dynamic Droplet System. Artificial Life, 19(3_4), 331–346.
Arnold, T. (2022). Comment on Paolo Euron’s “Uncanny Beauty: Aesthetics of Companionship, Love, and Sex Robots.” Artificial Life, 28(1), 124–127. Scopus.
Astor, J. C., & Adami, C. (2000). A Developmental Model for the Evolution of Artificial Neural Networks. Artificial Life, 6(3), 189–218.
Badelt, S., Flamm, C., & Hofacker, I. L. (2016). Computational Design of a Circular RNA with Prionlike Behavior. Artificial Life, 22(2), 172–184.
Baile, E. M., Dahlby, R. W., Wiggs, B. R., & Pare, P. D. (1985). Role of tracheal and bronchial circulation in respiratory heat exchange. Journal of Applied Physiology, 58(1), 217–222.
Baldassarre, G., Nolfi, S., & Parisi, D. (2003). Evolving Mobile Robots Able to Display Collective Behaviors. Artificial Life, 9(3), 255–267.
Baldassarre, G., Parisi, D., & Nolfi, S. (2006). Distributed Coordination of Simulated Robots Based on Self-Organization. Artificial Life, 12(3), 289–311.
Baldock, C., Oberhauser, A. F., Ma, L., Lammie, D., Siegler, V., Mithieux, S. M., Tu, Y., Chow, J. Y. H., Suleman, F., Malfois, M., Rogers, S., Guo, L., Irving, T. C., Wess, T. J., & Weiss, A. S. (2011). Shape of tropoelastin, the highly extensible protein that controls human tissue elasticity. Proceedings of the National Academy of Sciences, 108(11), 4322–4327.
Banda, P., Teuscher, C., & Lakin, M. R. (2013). Online Learning in a Chemical Perceptron. Artificial Life, 19(2), 195–219.
Barandiaran, X. E., & Egbert, M. D. (2014). Norm-Establishing and Norm-Following in Autonomous Agency. Artificial Life, 20(1), 5–28.
Barbosa, V. C. (2013). The Conduciveness of CA-Rule Graphs. Artificial Life, 19(2), 255–266.
Barnes, C. M., Ghouri, A., & Lewis, P. R. (2022). Explaining Evolutionary Agent-Based Models via Principled Simplification. Artificial Life, 27, 143–163. Scopus.
Bartlett, S., Gao, A. K., & Yung, Y. L. (2022). Computation by Convective Logic Gates and Thermal Communication. Artificial Life, 28(1), 96–107. Scopus.
Batut, B., Parsons, D. P., Fischer, S., Beslon, G., & Knibbe, C. (2013). In silico experimental evolution: a tool to test evolutionary scenarios. BMC Bioinformatics, 14(15), S11.
Beckmann, B. E., McKinley, P. K., & Ofria, C. (2007). Evolution of an Adaptive Sleep Response in Digital Organisms. In F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, & A. Coutinho (Eds.), Advances in Artificial Life (pp. 233–242). Springer.
Beckmann, B. E., McKinley, P. K., Knoester, D. B., & Ofria, C. (2007). Evolution of Cooperative Information Gathering in Self-Replicating Digital Organisms. First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), 65–76.
Beckmann, B. E., Knoester, D. B., Connelly, B. D., Waters, C. M., & McKinley, P. K. (2012). Evolution of Resistance to Quorum Quenching in Digital Organisms. Artificial Life, 18(3), 291–310.
Bedau, M. A. (1998). Four Puzzles About Life. Artificial Life, 4(2), 125–140.