Active Inference

5th International Workshop, IWAI 2024, Oxford, UK, September 9–11, 2024, Revised Selected Papers

Häftad, Engelska, 2024

AvChristopher L. Buckley,Daniela Cialfi,Pablo Lanillos,Riddhi J. Pitliya,Noor Sajid,Hideaki Shimazaki,Tim Verbelen,Martijn Wisse

1 149 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the revised selected papers of the 5th International Workshop on Active Inference, IWAI 2024, held in Oxford, UK, during September 9–11, 2024. The 17 full papers included in this book were carefully reviewed and selected from 54 submissions. Hybrid Continuous-discrete Systems;

Produktinformation

Utgivningsdatum2024-12-31
Mått155 x 235 x 16 mm
Vikt441 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor275
FörlagSpringer International Publishing AG
ISBN9783031771378

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Matematisk statistik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it

.- Modeling behaviour and emotions..- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection..- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study..- Free Energy in a Circumplex Model of Emotions..- Hybrid continuous-discrete systems..- Learning in Hybrid Active Inference Models..- Learning and embodied decisions in active inference..- Structure learning..- Online Structure Learning with Dirichlet Processes through Message Passing..- Exploring and Learning Structure: Active Inference Approach in Navigational Agents..- Multi-agent systems..- Belief sharing: a blessing or a curse..- Coupled autoregressive active inference agents for control of multi-joint dynamical systems..- Reactive Environments for Active Inference Agents with RxEnvironments..- Epistemic sampling..- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference..- Epistemic Value Anticipation into the Deep Active Inference Model..- Robot control..- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents..- Message Passing-based Bayesian Control of a Cart-Pole System..- Reducing Intuitive-Physics Prediction Error through Playing..- Sustainability and contextuality..- Modeling Sustainability under Active Inference through resource management..- Contextuality, Cognitive engagement, and Active Inference.