Active Inference, Kartoniert / Broschiert
Active Inference
- Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
- Verlag:
- Springer, 03/2023
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031287183
- Artikelnummer:
- 11442581
- Umfang:
- 384 Seiten
- Nummer der Auflage:
- 23001
- Ausgabe:
- 1st edition 2023
- Gewicht:
- 581 g
- Maße:
- 235 x 155 mm
- Stärke:
- 21 mm
- Erscheinungstermin:
- 22.3.2023
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks.- Interpreting systems as solving POMDPs: a step towards a formal understanding of agency.- Disentangling Shape and Pose for Object-Centric Deep Active Inference Models.- Object-based Active Inference.- Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models.- Spin glass systems as collective active inference.- Mapping Husserlian phenomenology onto active inference.- The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference.- World model learning from demonstrations with active inference: application to driving behavior.- Active Blockference: cadCAD with Active Inference for cognitive systems modeling.- Active Inference Successor Representations.- Learning Policies for Continuous Control via Transition Models.- Attachment Theory in anActive Inference Framework: How Does Our Inner Model Take Shape?.- Capsule Networks as Generative Models.- Home run: finding your way home by imagining trajectories.- A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture.- Active Inference and Psychology of Expectations: A study of formalizing ViolEx.- AIXI, FEP-AI, and integrated world models: Towards a unified understanding of intelligence and consciousness.- Intention Modulation for Multi-Step Tasks in Continuous Time Active Inference.- Learning Generative Models for Active Inference using Tensor Networks.- A Worked Example of the Bayesian Mechanics of Classical Objects.- A message passing perspective on planning under Active Inference.- Efficient search of active inference policy spaces using k-means.- Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agent.- Deriving time-averaged active inference from control principles.