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Active Inference

4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Christopher L. Buckley

    1. University of Sussex, Brighton, UK

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  2. Daniela Cialfi

    1. La Sapienza University of Rome, Rome, Italy

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  3. Pablo Lanillos

    1. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands

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  4. Maxwell Ramstead

    1. VERSES Research Lab, Los Angeles, USA

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  5. Noor Sajid

    1. University College London, London, UK

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  6. Hideaki Shimazaki

    1. Kyoto University, Kyoto, Japan

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  7. Tim Verbelen

    1. VERSES Research Lab, Los Angeles, USA

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  8. Martijn Wisse

    1. Technische Universiteit Delft, Delft, The Netherlands

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1915)

Included in the following conference series:

Conference proceedings info: IWAI 2023.

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About this book

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.

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Keywords

Table of contents (17 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Active Inference and Robotics

    1. Front Matter

      Pages 1-1
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    2. Contextual Qualitative Deterministic Models for Self-learning Embodied Agents

      • Jan Lemeire, Nick Wouters, Marco Van Cleemput, Aron Heirman
      Pages 3-13

    3. Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference

      • Kanako Esaki, Tadayuki Matsumura, Shunsuke Minusa, Yang Shao, Chihiro Yoshimura, Hiroyuki Mizuno
      Pages 14-28

  3. Decision-Making and Control

    1. Front Matter

      Pages 29-29
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    2. Towards Metacognitive Robot Decision Making for Tool Selection

      • Ajith Anil Meera, Pablo Lanillos
      Pages 31-42

    3. Understanding Tool Discovery and Tool Innovation Using Active Inference

      • Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley
      Pages 43-58

    4. Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference

      • Matteo Priorelli, Ivilin Peev Stoianov
      Pages 59-70

  4. Active Inference and Psychology

    1. Front Matter

      Pages 71-71
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    2. Towards Understanding Persons and Their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework

      • Adam Safron, Zahra Sheikhbahaee
      Pages 73-90

    3. On Embedded Normativity an Active Inference Account of Agency Beyond Flesh

      • Avel Guénin–Carlut, Mahault Albarracin
      Pages 91-105

    4. A Model of Agential Learning Using Active Inference

      • Riddhi J. Pitliya, Robin A. Murphy
      Pages 106-120

  5. From Theory to Implementation

    1. Front Matter

      Pages 121-121
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    2. Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making

      • Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl Friston et al.
      Pages 123-144

    3. An Analytical Model of Active Inference in the Iterated Prisoner’s Dilemma

      • Daphne Demekas, Conor Heins, Brennan Klein
      Pages 145-172

    4. Toward Design of Synthetic Active Inference Agents by Mere Mortals

      • Bert de Vries
      Pages 173-185

  6. Learning Representations for Active Inference

    1. Front Matter

      Pages 187-187
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    2. Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory

      • Miguel De Llanza Varona, Christopher Buckley, Beren Millidge
      Pages 189-203

    3. Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments

      • Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
      Pages 204-217

    4. Relative Representations for Cognitive Graphs

      • Alex B. Kiefer, Christopher L. Buckley
      Pages 218-236
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Other volumes

  1. Active Inference

Editors and Affiliations

  • University of Sussex, Brighton, UK

    Christopher L. Buckley

  • La Sapienza University of Rome, Rome, Italy

    Daniela Cialfi

  • Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands

    Pablo Lanillos

  • VERSES Research Lab, Los Angeles, USA

    Maxwell Ramstead, Tim Verbelen

  • University College London, London, UK

    Noor Sajid

  • Kyoto University, Kyoto, Japan

    Hideaki Shimazaki

  • Technische Universiteit Delft, Delft, The Netherlands

    Martijn Wisse

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