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Active Inference : 5th International Workshop, IWAI 2024, Oxford, UK, September 9–11, 2024, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Active Inference : 5th International Workshop, IWAI 2024, Oxford, UK, September 9–11, 2024, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Autore Buckley Christopher L
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (276 pages)
Disciplina 006.3
Altri autori (Persone) CialfiDaniela
LanillosPablo
PitliyaRiddhi J
SajidNoor
ShimazakiHideaki
VerbelenTim
WisseMartijn
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer science - Mathematics
Mathematical statistics
Computer networks
Application software
Computers, Special purpose
Software engineering
Artificial Intelligence
Probability and Statistics in Computer Science
Computer Communication Networks
Computer and Information Systems Applications
Special Purpose and Application-Based Systems
Software Engineering
ISBN 9783031771385
3031771389
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- 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.
Record Nr. UNINA-9910983347603321
Buckley Christopher L  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active Inference : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Active Inference : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Autore Buckley Christopher L
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (293 pages)
Disciplina 006.3
Altri autori (Persone) CialfiDaniela
LanillosPablo
RamsteadMaxwell
SajidNoor
ShimazakiHideaki
VerbelenTim
WisseMartijn
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer science - Mathematics
Mathematical statistics
Computer networks
Application software
Computers, Special purpose
Software engineering
Artificial Intelligence
Probability and Statistics in Computer Science
Computer Communication Networks
Computer and Information Systems Applications
Special Purpose and Application-Based Systems
Software Engineering
ISBN 9783031479588
3031479580
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Active Inference and Robotics -- Contextual Qualitative Deterministic Models for Self-Learning Embodied Agents -- Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference -- Decision-making and Control -- Towards Metacognitive Robot Decision Making for Tool Selection -- Understanding Tool Discovery and Tool Innovation Using Active Inference -- Efficient Motor Learning Through Action-perception Cycles in Deep Kinematic Inference -- Active Inference and Psychology -- Towards Understanding Persons and their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework -- On Embedded Normativity - An Active Inference Account of Agency Beyond Flesh -- A Model of Agential Learning Using Active Inference -- From Theory to Implementation -- Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-making -- An Analytical Model of Active Inference in the Iterated Prisoner’s Dilemma -- Toward Design of Synthetic Active Inference Agents by Mere Mortals -- Learning Representations for Active Inference -- Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory -- Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments -- Relative Representations for Cognitive Graphs -- Theory of Learning and Inference -- Active Inference in Hebbian Learning Networks -- Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks -- Probabilistic Majorization of Partially Observable Markov Decision Processes.
Record Nr. UNINA-9910765494503321
Buckley Christopher L  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui