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ORCIDSAB 2022: Cergy-Pontoise, France
- Lola Cañamero
, Philippe Gaussier, Myra S. Wilson, Sofiane Boucenna, Nicolas Cuperlier:
From Animals to Animats 16 - 16th International Conference on Simulation of Adaptive Behavior, SAB 2022, Cergy-Pontoise, France, September 20-23, 2022, Proceedings. Lecture Notes in Computer Science 13499, Springer 2022, ISBN 978-3-031-16769-0
Embodiment
- Vincent Rist, Manfred Hild:
How to Design Morphologies. A Design Process for Autonomous Robots. 3-14 - Tristan Gillard, Jérémy Fix, Alain Dutech:
Exploring Sensitization in the Context of Extending the Behavior of an Artificial Agent. 15-27 - Felix M. G. Woolford, Matthew D. Egbert:
Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map. 28-40 - Pablo J. Salazar, Tony J. Prescott:
Deep Gaussian Processes for Angle and Position Discrimination in Active Touch Sensing. 41-51 - Nopparada Mingchinda, Vatsanai Jaiton, Binggwong Leung, Poramate Manoonpong:
Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-segmented, Legged Robot. 52-63
Brain-Inspired Control, Adaptation, and Learning
- Manuel Baum, Lukas Schattenhofer, Theresa Rössler, Antonio Osuna-Mascaró, Alice M. I. Auersperg, Alex Kacelnik, Oliver Brock:
Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents. 67-78 - Jose A. Fernandez-Leon, Marcelo Arlego, Gerardo G. Acosta:
Is Free Energy an Organizational Principle in Spiking Neural Networks? 79-90 - Nathan Trouvain, Nicolas P. Rougier, Xavier Hinaut:
Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. 91-102 - Trond A. Tjøstheim, Birger Johansson, Christian Balkenius:
Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers. 103-114 - Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar:
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. 115-126 - Jianyong Xue, Frédéric Alexandre:
Multi-task Learning with Modular Reinforcement Learning. 127-138
Bio-inspired Vision and Navigation
- André Cyr, Frédéric Thériault:
Same/Different Concept: An Embodied Spiking Neural Model in a Learning Context. 141-152 - Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Steve Pechberti, Olivier Romain:
Sparse and Topological Coding for Visual Localization of Autonomous Vehicles. 153-164 - Mingda Ju, Philippe Gaussier:
Contribution of the Retrosplenial Cortex to Path Integration and Spatial Codes. 165-176 - Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. 177-189
Affective and Social Cognition and Collective Intelligence
- Antoine Sion, Andreagiovanni Reina, Mauro Birattari, Elio Tuci:
Impact of the Update Time on the Aggregation of Robotic Swarms Through Informed Robots. 193-204 - Elpida Tzafestas:
On the Adaptive Value of Mood and Mood Contagion. 205-216
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