Browsing by Author "von Mammen, Sebastian"

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    Optimization of Swarm-Based Simulations
    (2012-08-16) von Mammen, Sebastian; Sarraf Shirazi, Abbas; Sarpe, Vladimir; Jacob, Christian
    In computational swarms, large numbers of reactive agents are simulated. The swarm individuals may coordinate their movements in a “search space” to create efficient routes, to occupy niches, or to find the highest peaks. From a more general perspective though, swarms are a means of representation and computation to bridge the gap between local, individual interactions, and global, emergent phenomena. Computational swarms bear great advantages over other numeric methods, for instance, regarding their extensibility, potential for real-time interaction, dynamic interaction topologies, close translation between natural science theory and the computational model, and the integration of multiscale and multiphysics aspects. However, the more comprehensive a swarm-based model becomes, the more demanding its configuration and the more costly its computation become. In this paper, we present an approach to effectively configure and efficiently compute swarm-based simulations by means of heuristic, population-based optimization techniques. We emphasize the commonalities of several of our recent studies that shed light on top-down model optimization and bottom-up abstraction techniques, culminating in a postulation of a general concept of self-organized optimization in swarm-based simulations.
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    Swarm Grammars - A New Approach to Dynamic Growth
    (2006-05-25) von Mammen, Sebastian
    In this paper we present a new approach to dynamically breed artificial structures. By embedding swarm agents into the framework of formal grammars we build a bridge between symbol-based production systems and threedimensional, real-time construction procedures that are driven by moving, reactive, autonomous agents. In a small number of simulations we focus on the swarm agent abilities to coordinate with one another, and to respond to the environment. First results allow for a cautious, yet optimistic look at possible fields of application and future work.
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    SwarmScript 3.0 Algorithmic Specification
    (2011-11-15T20:24:47Z) von Mammen, Sebastian; Steil, Scott; Jacob, Christian
    SwarmScript provides a powerful programming approach based on situation- action pairs which allow the modeller to express agent behaviours and which equally well translate into computational processes. It merges a standardized representation for modelling agent behaviours with an algorithmic interpretation for simulating the resulting interactions.[...] The next section will introduce the data model of SwarmScript v3.0, whereas Sections 3 to 5 present pseudo code for creating, modifying and running SwarmScript simulations. Section 3 introduces some technical methods for setting, updating, and querying the connectivity of SwarmScript operators. Section 4 sheds light on routines necessary for creating and editing SwarmScript behaviours, including the creation of high-level operators. Finally, the pseudo code in Section 5 shows how SwarmScript behaviours can be simulated.
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    Welcome to the Jungle - Robots Entering the Realm of Animals
    (2006-03-27) von Mammen, Sebastian
    In this paper we summarize different experiments and projects that focus on animal-robot interaction. Based on the given examples, a general classification method is derived. A further class of applications in the field of animal-robot interaction is added and illustratively outlined.