<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sofya Aksenyuk</style></author><author><style face="normal" font="default" size="100%">Szymon Bujowski</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Konrad Miazga</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Late Bloomers, First Glances, Second Chances: Exploration of the Mechanisms Behind Fitness Diversity</style></title><secondary-title><style face="normal" font="default" size="100%">Genetic and Evolutionary Computation Conference (GECCO '24)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/FitnessDiversityMechanismsInHFCAndConvectionSel.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Fitness diversity is an idea in the field of evolutionary algorithms, which calls for supporting the evolution of solutions at all fitness levels simultaneously. In some cases, this idea may even extend to cultivating the worst solutions. While this may seem counterintuitive, fitness diversity has shown its promise in algorithms such as Hierarchical Fair Competition and Convection Selection. Although these algorithms share many similarities, the role fitness diversity serves in each of them is different. In Hierarchical Fair Competition, fitness diversity facilitates a constant incorporation of novel genotypes into the solutions that are already good - a mechanism we dub First Glances - and discovery of solutions through the exploration of neutral networks of different fitness levels - which we name Late Bloomers. On the other hand, Convection Selection uses fitness diversity techniques to give broken solutions time and shelter necessary to cross larger valleys in the fitness landscape - a mechanism we call Second Chances. In this work, we compare these two algorithms and their respective mechanisms over a range of numerical and 3D structure design optimization problems. We analyze the extent to which their mechanisms are utilized, and measure the impact of these mechanisms on finding good solutions.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Andrew Adamatzky</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Artificial Life Models in Hardware</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springer.com/978-1-84882-529-1</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains – this book offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colourful picture of state-of-the-art advances in hardware models of artificial life. Focusing on topics and areas based on non-traditional thinking, and new and emerging paradigms in bio-inspired robotics, this book has a unifying theme: the design and real-world implementation of artificial life robotic devices. Students and researchers will find this coverage of topics such as robotic energy autonomy, multi-locomotion of robots, biologically inspired autonomous robots, evolution in colonies of robotic insects, neuromorphic analog devices, self-configurable robots, and chemical and biological controllers for robots, will considerably enhance their understanding of the issues involved in the development of not-traditional hardware systems at the cusp of artificial life and robotics.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Andrew Adamatzky</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Artificial Life Models in Software</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springer.com/978-1-84882-284-9</style></url></web-urls></urls><edition><style face="normal" font="default" size="100%">second</style></edition><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Artificial Life Models in Software provides an introduction and guide to modern software tools for modeling and simulating life-like phenomena, written by those who personally design and develop software, hardware, and art installations in artificial life, simulated complex systems and virtual worlds. This timely volume offers a nearly exhaustive overview and original analysis of major non-profit software packages that are actively developed and supported by experts in artificial life and software design. The carefully selected topics include: simulation and evolution of real and artificial life forms, natural and artificial morphogenesis, self-organization, models of communication and social behaviors, emergent collective behaviors and swarm intelligence, agent-based simulations, autonomous and evolutionary robotics, adaptive, complex and biologically inspired ecosystems, artificial chemistries, and creative computer art. The models of life presented here are essential components in undergraduate and post-graduate courses in complex adaptive systems, multi-agent systems, collective robotics and nature-inspired computing. Readers interested in artificial life, evolutionary biology, simulation, cybernetics, computer graphics and animation, neuroscience, cognitive science, and philosophy will find this monograph a valuable guide and an excellent resource for supplementary reading.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Szymon Ulatowski</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Andrew Adamatzky</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Framsticks: Creating and Understanding Complexity of Life</style></title><secondary-title><style face="normal" font="default" size="100%">Artificial Life Models in Software</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springer.com/978-1-84882-284-9</style></url></web-urls></urls><edition><style face="normal" font="default" size="100%">second</style></edition><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">New York</style></pub-location><pages><style face="normal" font="default" size="100%">107–148</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This chapter describes Framsticks, a three-dimensional life simulation project. Both mechanical structures (&quot;bodies&quot;) and control systems (&quot;brains&quot;) of creatures are modeled. It is possible to design various kinds of experiments in this environment, including simple optimization (by evolutionary algorithms), coevolution, open-ended and spontaneous evolution, distinct gene pools and populations, diverse genotype-phenotype mappings, and modeling of species and ecosystems. Framsticks is employed in evolutionary computation, artificial intelligence, neural networks, biology, robotics and simulation, cognitive science, neuroscience, medicine, philosophy, virtual reality, graphics, and art. It is a versatile tool for research and education.</style></abstract><section><style face="normal" font="default" size="100%">5</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Andrew Adamatzky</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Artificial Life Models in Software</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springer.com/978-1-84882-284-9</style></url></web-urls></urls><edition><style face="normal" font="default" size="100%">first</style></edition><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">New York</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Andrew Adamatzky</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Framsticks: a platform for modeling, simulating and evolving 3D creatures</style></title><secondary-title><style face="normal" font="default" size="100%">Artificial Life Models in Software</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><edition><style face="normal" font="default" size="100%">first</style></edition><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">New York</style></pub-location><pages><style face="normal" font="default" size="100%">37–66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">2</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">A. Adamatzky</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Framsticks system: versatile simulator of 3D agents and their evolution</style></title><secondary-title><style face="normal" font="default" size="100%">Kybernetes: The International Journal of Systems &amp; Cybernetics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/Komosinski_FramsticksSystem_Kybernetes2003.pdf</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">1/2</style></number><volume><style face="normal" font="default" size="100%">32</style></volume><pages><style face="normal" font="default" size="100%">156–173</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>