SAB2022 - FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior

20-23 sept. 2022
CY Cergy Paris University - ONLINE & Cergy-Pontoise (France)

https://sab2022.sciencesconf.org

The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neuroscience, ethology, evolutionary biology, and other disciplines, 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 focuses on models and on experiments based on well-defined models, including robot models, computer simulation models and mathematical models designed to help characterize and compare various organizational principles or architectures underlying adaptive behavior in real animals and in synthetic agents -- animats. Relevant Research Areas SAB2020 solicits contributions dealing with any aspect of adaptive behavior in natural and artificial systems. Typical, but not exclusive, topics of interest are: The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioural sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behaviour Applied adaptive behaviour Motivation and emotion Communication and language Emergent structures and behaviours Neural correlates of behaviour Evolutionary and co-evolutionary approaches Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Cognitive and developmental robotics Software agents and virtual creatures Philosophical and psychological issues Animats in education Conference Format Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of workshop and tutorials.
Discipline scientifique :  Intelligence artificielle - Apprentissage - Système multi-agents - Réseau de neurones - Robotique

Lieu de la conférence
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