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This article reviews the growing body of scientific work in artificial chemistry. First, common motivations and fundamental concepts are introduced. Second, current research activities are discussed along three application dimensions: modeling, information processing, and optimization. Finally, common phenomena among the different systems are summarized. It(More)
Mobile apps are a success story for mobile devices, particularly in the consumer sector. Tailored to a specific task, they offer optimal usability for a defined class of devices. However, today's apps are neither designed to collaborate with complex workflows nor to support these. To overcome this limitation, we developed the concept of Mobile App(More)
Over the past decade, millions of artefacts have been tagged using the RFID technology. They have been augmented with a digital presence and integrated into various processes and workflows. However, RFID is still mainly regarded as a link between a physical artefact and a digital database. Location, fixation and appearance of RFID tags are solely functional(More)
We present the system SIGEL that combines the simulation and visualization of robots with a Genetic Programming system for the automated evolution of walking. It is designed to automatically generate control programs for arbitrary robots without depending on detailed analytical information of the robots' kinematic structure. Different fitness functions as(More)
This article demonstrates a new method of programming artificial chemistries. It uses the emerging capabilities of the system's dynamics for information-processing purposes. By evolution of metabolisms that act as control programs for a small robot one achieves the adaptation of the internal metabolic pathways as well as the selection of the most relevant(More)
In a globalised world the process industry faces great challenges regarding data management. Rising demands for agility and rapid shortening of innovation cycles have lead to project-based collaborations. Highly specialised small and medium enterprises are forming so-called virtual companies to profit from each other. Today, however, industrial data(More)
In this paper a method is presented that decreases the necessary number of evaluations in Evolutionary Algorithms. A classifier with confidence information is evolved to replace time consuming evaluations during tournament selection. Experimental analysis of a mathematical example and the application of the method to the problem of evolving walking patterns(More)
The evolution of metabolisms that act as control programms for a small robot leads to the selection of most relevant sensory information. The underlying artiicial chemistry evolves eecient information processing pathways with most beneet for the desired task, robot navigation. The results show certain relations to biological systems like motile bacteria.