Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
Information transfer and antipredator maneuvers in schooling herring
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Convergent exaptation of leap up for escape in distantly related arboreal amniotes
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Armed and dangerous: predicting the presence and function of defensive weaponry in mammals
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Co-evolving predator and prey robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Sequential analyses of foraging behavior and attack speed in ambush and widely foraging lizards
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
ALife approach for body-behavior predator---prey coevolution: body first or behavior first?
Artificial Life and Robotics
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Predator-prey interactions are probably one of the key mechanisms for explaining the evolution of organisms in their ecosystems. Scientific fields relevant to understanding the mechanisms of these interactions are as diverse as evolutionary biology, behavioral ecology, ecomorphology, molecular biology, phylogeny, neurosciences, physiology, biomechanics, and robotics. The difficulty in understanding these mechanisms lies therefore (1) in the multi- and interdisciplinary nature of this issue, and (2) in keeping up with very rapid developments in various scientific fields. This Special Issue provides an interdisciplinary approach to predator-prey interactions to identify how phenotypic traits of both types of organisms interact and how each can act as a selective pressure on the evolution of a population of organisms at the different levels of the trophic chain. Moreover, we show that confronting bodies of knowledge that a priori appear as remote as those of robotics and experimental biology or ecology may seem difficult but can provide reciprocal understanding.