From animals to animats 16 : 16th international conference on simulation of adaptive behavior, SAB 2022, Cergy-Pontoise, France, September 20-23, 2022 : proceedings / / Lola Cañamero [and four others], editors

• Pubblicazione: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]; ©2022
• Descrizione fisica: 1 online resource (225 pages)
• Disciplina: 004
• Soggetto topico: Computer vision; Adaptive computing systems; Robotics
• Persona (resp. second.): CañameroLola
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Embodiment -- How to Design Morphologies. A Design Process for Autonomous Robots -- 1 Introduction -- 2 Proposal of a Design Process -- 2.1 Arc Representation -- 2.2 Morphological Manifold as a Directed Graph -- 2.3 Algorithmically Determined Motion Sequences -- 2.4 Plug'n'Clamp Kit -- 3 Evaluation -- 4 Discussion and Outlook -- References -- Exploring Sensitization in the Context of Extending the Behavior of an Artificial Agent -- 1 Introduction -- 2 Sensitization -- 3 IDSM -- 4 Model of Pseudo-conditioning Through Generalization of Nodes -- 5 Experiments and Results -- 5.1 Setup -- 5.2 Results -- 6 Discussion -- References -- Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map -- 1 Introduction -- 2 Model -- 2.1 NB-SMM -- 2.2 Experiment Setup -- 2.3 CTRNN Comparison -- 3 Results -- 3.1 NB-SMM Results -- 3.2 Categorical Perception -- 3.3 CTRNN Results -- 4 Discussion -- References -- Deep Gaussian Processes for Angle and Position Discrimination in Active Touch Sensing -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Dimensionality Reduction -- 2.3 Gaussian Process Based Models -- 3 Results -- 3.1 Position Discrimination -- 3.2 Angle Discrimination -- 4 Discussion and Future Work -- References -- Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-segmented, Legged Robot -- 1 Introduction -- 2 Materials and Methods -- 2.1 Millipede-Inspired Robot -- 2.2 Neural Control System for Millipede-Like Turning Behaviour -- 2.3 Neural Body Bending Control with Temporal Delays -- 3 Experiments and Results -- 3.1 Millipede-Like Turning Behaviour -- 3.2 Navigation in Different Environments with Narrow Paths -- 4 Conclusion -- References -- Brain-Inspired Control, Adaptation, and Learning. ; Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents -- 1 Introduction -- 2 Related Work -- 3 Comparing Synthetic Learning Models to Target Data -- 3.1 Problem Formalization -- 3.2 Unconstrained Approach to Identify Learning Algorithms -- 3.3 Yoked Approach to Identify Learning Algorithms -- 4 Evaluation in a Synthetic Lockbox Task -- 4.1 Identifying Known Ground Truth Learning Algorithms -- 4.2 Comparison over Size of Action Space -- 5 Evaluation in a Real Cockatoo Lockbox Learning Task -- 6 Conclusion -- References -- Is Free Energy an Organizational Principle in Spiking Neural Networks? -- 1 Introduction: Decoding the Free Energy Concept -- 2 Free Energy in the Absence of External Sensing -- 3 Non-variational Free Energy in a Spiking Neural Network -- 4 Conclusions -- 5 Supplemental Information -- References -- Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy -- 1 Introduction -- 2 Flexible Reservoir Computing -- 2.1 Functional Nodes -- 2.2 Learning Rules -- 2.3 Models as Computational Graphs -- 2.4 Feedback Loops -- 3 Getting Started: ESN for Timeseries Forecasting with ReservoirPy -- 3.1 Step 1: Choose a Timeseries for One Timestep Ahead Prediction -- 3.2 Step 2: Define Your ESN -- 3.3 Step 3.1: Train the Offline Model -- 3.4 Step 3.2: Train the Online Model -- 3.5 Step 4: Evaluate the Model -- 4 Discussion -- References -- Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers -- 1 Introduction -- 1.1 Specific and Non-specific Inhibition in Animals -- 1.2 The Quality of Cognitive Processes -- 2 Energy Measurements in a Physical System -- 3 Adaptive Inhibition -- 4 Discussion -- References -- Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning -- 1 Introduction -- 2 Problem -- 2.1 Reinforcement Learning. ; 2.2 Environment Changes -- 3 Method -- 3.1 ACh and NE Neuromodulation -- 3.2 Update of ACh and NE System -- 3.3 The Complete System -- 4 Experiments -- 5 Results -- 5.1 Reinforcement Learning Performance -- 5.2 Activity of Neuromodulatory System -- 6 Conclusion -- References -- Multi-task Learning with Modular Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Reinforcement Learning -- 3.2 Modular Reinforcement Learning -- 4 The Inverse Arbi-Q Architecture -- 5 Implementation -- 5.1 State Predictor -- 5.2 Reward Predictor -- 5.3 RL Controller -- 5.4 Action Selection -- 6 Simulation -- 6.1 Settings -- 6.2 Results -- 7 Conclusions and Future Work -- References -- Bio-inspired Vision and Navigation -- Same/Different Concept: An Embodied Spiking Neural Model in a Learning Context -- 1 Introduction -- 2 Methodology -- 2.1 Protocol -- 2.2 Neural Architecture -- 2.3 Physical Environment -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Sparse and Topological Coding for Visual Localization of Autonomous Vehicles -- 1 Introduction -- 2 Related Work: Definition of the Sparse Coding -- 3 Topological Sparse Coding -- 4 SMP Model -- 5 Materials and Methods -- 5.1 Dataset -- 5.2 Metrics -- 5.3 Evaluation Methodology -- 5.4 Implementation Details -- 6 Results -- 6.1 Properties of TSC During Learning -- 6.2 Evaluation of Configuration/Performance -- 6.3 Evaluation of Localization Performances with the State of the Art -- 7 Discussion and Conclusion -- References -- Contribution of the Retrosplenial Cortex to Path Integration and Spatial Codes -- 1 Introduction -- 2 Computational Model -- 3 Experiment and Results -- 3.1 Recording ot Neurons Learning MD Activities in RSC -- 3.2 Building Place Cells from PI Information -- 3.3 Robustness of the Model -- 4 Conclusion and Perspective -- References. ; Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error -- 1 Introduction -- 2 Methods -- 2.1 Spiking Wave Propagation -- 2.2 E-Prop and Back-Propagation Through Time -- 2.3 Extracting a Path from the Spike Wavefront Algorithm -- 3 Results -- 3.1 Simulating Human Navigation and Taking Novel Shortcuts -- 3.2 Simulating Rodent Navigation in Tolman Detour Task -- 4 Discussion -- References -- Affective and Social Cognition and Collective Intelligence -- Impact of the Update Time on the Aggregation of Robotic Swarms Through Informed Robots -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusions -- References -- On the Adaptive Value of Mood and Mood Contagion -- 1 Introduction -- 2 Agent Model -- 3 Reference Mood Experiments -- 4 Evolution of Mood -- 5 Mood Contagion -- 6 Evolution of Mood Contagion -- 7 Discussion -- References -- Author Index.
• Titolo autorizzato: From animals to animats 16
• ISBN: 3-031-16770-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910592993403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in computer science. . -Lecture notes in artificial intelligence.