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    Category: Resources

    Inferring Hierarchical Structure in Multi-Room Maze Environments

    The paper presents a hierarchical active inference model that enhances navigation and exploration in multi-room environments using cognitive maps. It …
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    Denise Holt June 23, 2023

    Intra-Active Inference I: Fundamentals

    This paper, the first in a series, explores the application of new materialism to the free energy principle (FEP). It highlights the interplay between…
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    Denise Holt June 19, 2023

    Active Inference in Hebbian Learning Networks

    This research explores active inference using brain-inspired Hebbian learning networks to control agents. It describes a dual-network system that lear…
    denise-h
    Denise Holt June 8, 2023

    Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making

    The paper explores the development of explainable AI systems using active inference, emphasizing transparency in decision-making and introspection. It…
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    Denise Holt June 6, 2023

    Realising Synthetic Active Inference Agents, Part II: Variational Message Updates

    This paper continues the exploration of synthetic Active Inference (AIF) agents as detailed in Part I, focusing on variational message updates. It hig…
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    Denise Holt June 5, 2023

    On Embedded Normativity-An Active Inference account of agency beyond flesh

    The paper introduces "embedded normativity" within the Active Inference framework, proposing that social norms emerge through human interaction with t…
    denise-h
    Denise Holt June 1, 2023

    Fusing event-based camera and radar for SLAM using spiking neural networks with continual STDP learning

    The study introduces a novel SLAM architecture combining event-based cameras and FMCW radar for drone navigation, utilizing bio-inspired Spiking Neura…
    denise-h
    Denise Holt May 29, 2023

    Computing with Categories in Machine Learning

    The paper introduces DisCoPyro, a framework combining category theory with amortized variational inference for machine learning. It bridges the gap be…
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    Denise Holt May 24, 2023

    VERSES AI Compared to Open AI A Conversation With ChatGPT4

    The article discusses a dialogue with ChatGPT4, highlighting key differences between Machine Learning LLMs and Active Inference AI. It emphasizes the …
    denise-h
    Denise Holt May 23, 2023

    The free energy principle made simpler but not too simple – original pub date – Jan 17, 2022

    The paper elucidates the free energy principle, linking random dynamical systems to Bayesian mechanics as a framework for understanding sentience. It …
    denise-h
    Denise Holt May 20, 2023
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    The free energy principle made simpler but not too simple - original pub date - Jan 17, 2022

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