Active Inference: Communications in Computer and Information Science, cartea 1915
Editat de Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisseen Limba Engleză Paperback – 16 noi 2023
The 17 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: active inference and robotics; decision-making and control; active inference and psychology; from theory to implementation; learning representations for active inference; and theory of learning and inference.
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Specificații
ISBN-13: 9783031479571
ISBN-10: 3031479572
Pagini: 300
Ilustrații: X, 290 p. 86 illus., 70 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1st edition 2024
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031479572
Pagini: 300
Ilustrații: X, 290 p. 86 illus., 70 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1st edition 2024
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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.