In nature, gene regulatory networks are a key mediator between the information stored in the
DNA of living organisms (their genotype) and the structural and behavioral expression this …

Gene regulatory networks (GRNs) are the fundamental mechanisms through which
biological organisms control their growth, their dynamical behavior, their interaction with …

We present the combination of Fuzzy sets and Case-Based Reasoning (FCBR) to deal with
strategic and tactical management in the real-time strategy environment of StarCraft. Case …

Biological genomes have evolved over a period of millions of years and comprise thousands
of genes, even for the simplest organisms. However, in nature, only 1-2% of the genes play …

In recent years, gene regulatory networks (GRNs) have been proposed to work as reliable
and robust control mechanisms for robots. Because recurrent neural networks (RNNs) have …

In this paper we report our experiments with the e-puck robots for developing a
communication system using evolutionary robotics. In order to do the latter we follow the …

Multicellular organisms in biology possess invaluable characteristics, which artificial
systems in engineering lack, such as adaptivity and robustness. Modeling biologically …

Abstract In Evolutionary Robotics, Bioinspired Algorithms are used to generate robotic
behavior. Several researchers used classic Genetic Algorithms or adaptations of Genetic …

Abstract Machine learning algorithms allow computers to deal with incomplete data in tasks
such as speech recognition and object detection. Some machine learning algorithms take …

Within the genetic programming community, there has been growing interest in the use of
computational representations motivated by gene regulatory networks (GRNs). It is thought …