Buckley / Albarracin / Benrimoh | Active Inference | Buch | 978-3-032-16954-9 | www2.sack.de

Buch, Englisch, 432 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Buckley / Albarracin / Benrimoh

Active Inference

6th International Workshop, IWAI 2025, Montreal, QC, Canada, October 15-17, 2025, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-3-032-16954-9
Verlag: Springer Nature Switzerland AG

6th International Workshop, IWAI 2025, Montreal, QC, Canada, October 15-17, 2025, Revised Selected Papers

Buch, Englisch, 432 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-16954-9
Verlag: Springer Nature Switzerland AG


This book constitutes revised selected papers from the 6th International Workshop on Active Inference, IWAI 2025, held in Montreal, Canada, during October 15-17, 2025. 
The 24 full papers included in this book were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: Models of Decision Making; Forney Style Factor Graphs; Fundamental Active Inference Extensions; Simulations of Mental Processes; Human Experiments; Scaling and Efficiency; Robotics; Multi-agent and Theory of Mind.






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Weitere Infos & Material


.- Models of Decision Making.
.- On the Variational Costs of Changing Our Minds
.- Cognitive Effort in the Two-Step Task: An Active Inference Drift-Diffusion Model Approach.
.- Addressing the Subsumption Thesis: A Formal Bridge between Microeconomics and Active Inference.
.- Forney Style Factor Graphs.
.- Bethe Predictive Coding.
.- A Message Passing Realization of Expected Free Energy Minimization.
.- Spike-Timing-Dependent Plasticity for Bernoulli Message Passing.
.- Fundamental Active Inference Extensions.
.- Diffusion-Generated Latent Spaces for Continuous Amortized Active Inference Agents: A Mathematical Framework.
.- Deep Active Inference with Neural Stochastic Differential Equations.
.- A Diffusion Prior for Active Inference Planning.
.- Simulations of Mental Processes.
.- An Active Inference Model of Covert and Overt Visual Attention.
.- Dynamic Attentional Agents in Focused Attention Meditation: Hierarchical Computational Modeling of Expert-Novice Differences.
.- Geometric Hyperscanning under Active Inference.
.- Human Experiments.
.- An Active Inference Model of Mouse Point-and-Click Behaviour.
.- Writing through Sympathetic Arousal: A Perceptual Active Inference Model of on the Effects of Sympathetic Arousal Interoception on Written and Spoken Grammatical Complexity.
.- Evaluation of “As-Intended” Vehicle Dynamics using the Active Inference Framework.
.- Scaling and Efficiency.
.- Message passing-based inference in an autoregressive active inference agent.
.- Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods.
.- Predictive Coding-based Deep Neural Network Finetuning for Computationally Efficient Domain Adaptation.
.- Robotics.
.- Navigation and Exploration with Active Inference: from Biology to Industry.
.- Free-Gate: Planning, Control And Policy Composition Via Free Energy Gating.
.- Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks.
.- Multi-agent and Theory of Mind.
.- Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation.
.- Demonstration of Making Humans Recognize Intentions of Robot Actions through Active Inference.
.- Navigating Uncertainties with Active Inference and Probabilistic Diffusion.



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