16th International Conference on Simulation of Adaptive Behavior, SAB 2022, Cergy-Pontoise, France, September 20-23, 2022, Proceedings Redaktion: Cañamero, Lola; Cuperlier, Nicolas; Boucenna, Sofiane; Wilson, Myra; Gaussier, Philippe
16th International Conference on Simulation of Adaptive Behavior, SAB 2022, Cergy-Pontoise, France, September 20-23, 2022, Proceedings Redaktion: Cañamero, Lola; Cuperlier, Nicolas; Boucenna, Sofiane; Wilson, Myra; Gaussier, Philippe
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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.
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.
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Inhaltsangabe
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 VicariousTrial 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.
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 VicariousTrial 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.
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