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ORCIDIWAI 2023: Ghent, Belgium
- 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. Communications in Computer and Information Science 1915, Springer 2024, ISBN 978-3-031-47957-1
Active Inference and Robotics
- Jan Lemeire, Nick Wouters, Marco Van Cleemput, Aron Heirman:
Contextual Qualitative Deterministic Models for Self-learning Embodied Agents. 3-13 - Kanako Esaki, Tadayuki Matsumura, Shunsuke Minusa, Yang Shao, Chihiro Yoshimura, Hiroyuki Mizuno:
Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference. 14-28
Decision-Making and Control
- Ajith Anil Meera, Pablo Lanillos:
Towards Metacognitive Robot Decision Making for Tool Selection. 31-42 - Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley:
Understanding Tool Discovery and Tool Innovation Using Active Inference. 43-58 - Matteo Priorelli, Ivilin Peev Stoianov:
Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference. 59-70
Active Inference and Psychology
- Adam Safron, Zahra Sheikhbahaee:
Towards Understanding Persons and Their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework. 73-90 - Avel Guénin-Carlut, Mahault Albarracin:
On Embedded Normativity an Active Inference Account of Agency Beyond Flesh. 91-105 - Riddhi J. Pitliya, Robin A. Murphy:
A Model of Agential Learning Using Active Inference. 106-120
From Theory to Implementation
- Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl J. Friston, Maxwell J. D. Ramstead:
Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making. 123-144 - Daphne Demekas, Conor Heins, Brennan Klein:
An Analytical Model of Active Inference in the Iterated Prisoner's Dilemma. 145-172 - Bert de Vries:
Toward Design of Synthetic Active Inference Agents by Mere Mortals. 173-185
Learning Representations for Active Inference
- Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge:
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. 189-203 - Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo:
Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments. 204-217 - Alex B. Kiefer, Christopher L. Buckley:
Relative Representations for Cognitive Graphs. 218-236
Theory of Learning and Inference
- Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs:
Active Inference in Hebbian Learning Networks. 239-253 - Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber:
Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks. 254-274 - Tom Lefebvre:
Probabilistic Majorization of Partially Observable Markov Decision Processes. 275-288
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