Artificial lifeArtificial life studies the logic of living system in artificial environments. The goal is to study the phenomena of living systems in order to come to an understanding of the complex information processing that defines such systems. It also included in the umbrella term Artificial Life are agent based system which are used to study the emergent properties of societies of agents.
Evolutionary computationEvolutionary computation is a subfield of artificial intelligence that involves combinatorial optimization problems.Evolutionary computation uses iterative progress, such as growth or development in a population. This population is then selected in a guided random search using parallel processing to achieve the desired end. Such processes are often inspired by biological mechanisms of evolution. The Symbrion project(FP7) is a project to develop a framework in which a homogeneous swarm of miniature interdependent robots can co-assemble into a larger robotic organism to gain problem-solving momentum. One of the key-aspects of Symbrion is inspired by the biological world: an artificial genome that allows to store and evolve (sub)optimal configurations in order to achieve an increased speed of adaptation.
Papers(4) Yao, Y., Storme, V., Marchal, K., Van de Peer, Y. (2016) Emergent adaptive behaviour of GRN-controlled simulated robots in a changing environment. PeerJ (In Press).
(3) Yao, Y., Marchal, K., Van de Peer, Y. (2014) Improving the adaptability of simulated evolutionary swarm robots in dynamically changing environments. PLoS One 9(3):e90695.
(2) Yao, Y., Baele, G., Van de Peer, Y. (2011) A bio-inspired agent-based system for controlling robot behaviour. Proceedings of the IA - 2011 IEEE Symposium on Intelligent Agents organized in IEEE Symposium Series in Computational Intelligence 2011 Paris, France.
(1) Kernbach, S., Hamann, K., Stradner, J., Thenius, R., Schmickl, T., van Rossum, A. C., Sebag, M., Bredeche, N., Yao, Y., Baele, G., Van de Peer, Y., Timmis, K.N., Mokhtar, M., Tyrrell, A., Eiben, A. E., McKibbin, S. P., Liu, W., Winfield, A. F. T. (2009) On adaptive self-organization in artificial robot organisms. Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns 33-43.
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