Friedrich Burkhard von der Osten

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In this paper, we study the evolutionary dynamics of the public goods game where the population of mobile individuals is divided into separate groups. We extend the usual discrete strategy game, by introducing "conditional investors" who have a real-value genetic trait that determines their level of <i>risk aversion</i>, or willingness to invest into the(More)
Reactive path planning to avoid collisions with moving obstacles enables more robust agent systems. However, many solutions assume that moving objects are passive; that is, they do not consider that the moving objects are themselves re-planning to avoid collisions, and thus may change their trajectory. In this paper we present a model, Anticipatory(More)
Anticipatory Stigmergic Collision Avoidance (ASCA) is a reciprocal collision avoidance model in which agents interact by indicating intended future paths to other agents in their local environment. Other agents can then incorporate that information to guide their path planning decisions. Additionally, constraints such as restricted movements and noise are(More)
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