Investigating Morphological Symmetry and Locomotive Efficiency using Virtual Embodied Evolution
From Animals to Animats: The Sixth International Conference on the Simulation of Adaptive Behaviour, , , 2000
Abstract: The recent convergence of real-time physicsbased simulation tools, the growing eld of embodied cognitive science, and techniques for evolving complete agents has created a new methodology, which we refer to as Virtual Embodied Evolution. This methodology can be used to explore a wide range of issues related to the interplay between morphology and control in adaptive behaviour research. Here, we explore the intuitive, but previously unexplored correlation between morphological symmetry and locomotive eciency in mobile, simulated agents. By evolving the morphologies and control structures of simulated agents using a genetic algorithm, it was found that agents with a higher degree of bilateral symmetry tended to exhibit greater locomotive efficiency than agents with less bilateral symmetry. This finding lends credence to the argument that for biological organisms …
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).