The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on models of adaptive behavior and its underlying mechanisms, and on experiments grounded on well-defined models including robot, computer simulation and mathematical models designed to help characterize and compare various principles or architectures underlying adaptive behavior in real animals and in synthetic agents, the “animats”. Selected papers will be invited to a special issue in the journal Adaptive Behavior and will be published with Springer Nature.
More About SAB 2026of the Conference on Simulation of Adaptive Behavior
of talks, workshops, posters, and networking
integrating research across diverse fields
with various scientific backgrounds
SAB 2026 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents.
Read moreA detailed agenda of the whole program will be found here soon.
Read moreRead more about our confirmed speakers from a diverse disciplinary background.
Read moreThe International Society for Adaptive Behavior (ISAB) is an organization dedicated to advancing the understanding of adaptive behavior in both biological organisms and artificial systems. It supports the International Conference on the Simulation of Adaptive Behavior series, themed "From Animals to Animats," now in its 18th edition. This edition is hosted and supported by Technische Universität Berlin (TU Berlin) and organized by TUB/CO GmbH TU Berlin Corporate in cooperation with Science of Intelligence (SCIoI), a Cluster of Excellence in Berlin and the Robotics and Biology Lab at TU Berlin.
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