Embodiment -- How to Design Morphologies. A Design Process for Autonomous Robots -- Exploring sensitization in the context of extending the behavior of an artificial agent -- Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map -- Deep Gaussian Processes for Angle and Position Discrimination in Active Touch Sensing -- Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-Segmented, Legged Robot -- Brain-Inspired Control, Adaptation, and Learning -- Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents -- Is free energy an organizational principle in spiking neural networks? -- Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy -- Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers -- Adapting to Environment Changes through Neuromodulation of Reinforcement Learning -- Multi-task learning with modular reinforcement learning -- Bio-inspired Vision and navigation -- Same/different concept: an embodied spiking neural model in a learning context -- Sparse and topological coding for visual localisation of autonomous vehicles -- Contribution of the retrosplenial cortex to path integration signatures and spatial codes -- Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error -- Affective and Social Cognition and Collective Intelligence -- Impact of the Update Time on the Aggregation of Robotic Swarms through Informed Robots -- On the Adaptive Value of Mood and Mood Contagion.

This book constitutes the refereed proceedings of the 16th International Conference on Simulation of Adaptive Behavior, SAB 2022, held in Cergy-Pontoise, France, in September 2022. The 17 papers presented in this volume were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: Embodiment; Brain-Inspired Control, Adaptation, and Learning; Bio-inspired Vision and navigation; Affective and Social Cognition and Collective Intelligence.