Active Inference
Springer International Publishing (Verlag)
978-3-031-28718-3 (ISBN)
The 25 revised full papers presented in this book were carefully reviewed and selected from 31 submissions.
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.
Erscheinungsdatum | 23.03.2023 |
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Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | XI, 372 p. 79 illus., 69 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 580 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Applications • Artificial Intelligence • Bayesian networks • Computer Science • conference proceedings • inference engines • Informatics • Intelligent Agents • Markov Processes • multiagent system • Neural networks • Probability Distribution • probablistic inference • Research • Robotics • software architecture • Software engineering |
ISBN-10 | 3-031-28718-5 / 3031287185 |
ISBN-13 | 978-3-031-28718-3 / 9783031287183 |
Zustand | Neuware |
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