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Active Inference: 4th International Workshop, IWAI 2023, Ghent, Belgium, September 1315, 2023, Revised Selected Papers 1st ed. 2024 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 290 pages, height x width: 235x155 mm, weight: 462 g, 70 Illustrations, color; 16 Illustrations, black and white; X, 290 p. 86 illus., 70 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1915
  • Izdošanas datums: 16-Nov-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031479572
  • ISBN-13: 9783031479571
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Active Inference: 4th International Workshop, IWAI 2023, Ghent, Belgium, September 1315, 2023, Revised Selected Papers 1st ed. 2024Palielināt
  • Formāts: Paperback / softback, 290 pages, height x width: 235x155 mm, weight: 462 g, 70 Illustrations, color; 16 Illustrations, black and white; X, 290 p. 86 illus., 70 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1915
  • Izdošanas datums: 16-Nov-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031479572
  • ISBN-13: 9783031479571
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031479571.html
Keywords:

This volume constitutes the papers of the 4th International Workshop on Active Inference, IWAI 2023, held in Ghent, Belgium on September 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.

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
Prisoners 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.