What genotypic features explain the evolvability of organisms that have to accomplish many different tasks? The genotype of behaviorally complex organisms may be more likely to encode modular neural architectures because neural modules dedicated to distinct tasks avoid neural interference, i.e., the arrival of conflicting messages for changing the value of connection weights during learning. Ho...

Test Data Generation is an intricate process which requires intensive manual labor and thus a lot of project time. There is an immediate need of finding out an effective technique for automating the process as manual Test Data Generation escalates the project cost. The paper proposes the use of Artificial Life in generating and minimizing the Test Cases. The work has been applied on some progra...

This paper describes a research on the biological validity of virtual ecosystems. Artificial Life systems are designed in the pursuit of creating an instance of life in a computational environment. The reproduction mechanisms of these systems are compared with nature’s reproduction mechanisms as described by Ernst Mayr. This research determines if the ecosystems give a correct representation of...

In this paper we describe a novel approach to Data Mining: artificial life forms, called DataBots, simulated in a computer show collective behavioral patterns that correspond to structural features in a high dimensional input space. Movement strategies for DataBots have been found and tested on a real world data set. Important structural properties could be found and visualized by the collectiv...

The field of artificial life is enriching both the content and method of philosophy. One example of the impact of artificial life on the content of philosophy is the light it sheds on the perennial philosophical question of the nature of emergent pheonomena in general. Another second example is the way it highlights and promises to explain the suppleness of mental processes. Artificial life's c...

“Epigenetic Tracking” is the name of a model of cellular development that, coupled with an evolutionary technique, becomes an evo-devo method to generate arbitrary 2d or 3d shapes. The method evolves instructions contained in the genome inside cells, which guide the development of an artificial zygote into a mature phenotype: as such it belongs to the field of “artificial embryology”, or “compu...

The aim of the paper is to show that an Artificial Life approach to language tends to change the research agenda on language which has been shared by both the symbolic paradigm and classical connectionism. Artificial Life Neural Networks (ALNNs) are different from classical connectionist networks because they interact with an independent physical environment; are subject to evolutionary, develo...

The application of evolution in the digital realm, with the goal of creating artificial intelligence and artificial life, has a history as long as that of the digital computer itself. We illustrate the intertwined history of these ideas, starting with the early theoretical work of John von Neumann and the pioneering experimental work of Nils Aall Barricelli. We argue that evolutionary thinking ...

This paper presents an artificial life model for image enhancement. The results of some traditional enhancement methods were analyzed and compared with the ones obtained by the model proposed. The qualitative and quantitative tests performed allowed to conclude that the new model is promising, as is able to enhance transitions of the objects presented in the original images and make them more v...

Step by step, the components of an artificial form of cellular life are being assembled by researchers. Lipid vesicles the size of small bacteria can be prepared and under certain conditions are able to grow and divide, then grow again. Polymerase enzymes encapsulated in the vesicles can synthesize RNA from externally added substrates. Most recently, the entire translation apparatus, including ...