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Entomologists, collective-behaviour researchers, neuroethologists, and insect-inspired robotics teams.
A research scaffold for insect perception, navigation, foraging, collective behaviour, and superorganisms.
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Insects and insect colonies are compact, tractable active-inference systems: individuals infer environmental states from limited senses and act under tight resource constraints, while colonies behave as superorganisms whose collective dynamics can be read as distributed inference.
Insect sensory ecology, navigation, and foraging are perception-action loops under uncertainty and scarcity, and ant and bee colonies externalise memory and decision-making across many bodies. Active inference provides one formalism that spans neurons, individuals, and colonies, making the superorganism a concrete multi-scale modelling target.
A domain report should track generative models of insect perception and action, expected-free-energy policy selection in foraging and navigation, active and epistemic sensing, and hierarchical multi-scale models from neurons to colonies. It should separate simulation frameworks from data-driven models grounded in behavioural recordings.
Empirical validation is the central challenge: the next pass should gather colony-behaviour and navigation studies, basal-cognition and executive-function work in insects, and insect-inspired robotics, while explicitly testing active inference against alternative (e.g. reinforcement-learning or heuristic) accounts and bridging individual and colony scales.
Karl J. Friston (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience. DOI: 10.1038/nrn2787. Giovanni Pezzulo, Francesco Rigoli, Karl J. Friston (2017). Active Inference, homeostatic regulation and adaptive behavioural control. Progress in Neurobiology. DOI: 10.1016/j.pneurobio.2017.08.001. Maxwell J. D. Ramstead, Karl J. Friston, Axel Constant, Lancelot Da Costa, Casper Hesp, Beren Millidge, Alexander Tschantz (2023). On Bayesian Mechanics: A Physics of and by Beliefs. arXiv. Daniel Ari Friedman, Alec Tschantz, Maxwell J. D. Ramstead, Karl J. Friston, Axel Constant (2021). An Active Inference Framework for Ant Colony Behavior. Frontiers in Behavioral Neuroscience. DOI: 10.3389/fnbeh.2021.647732. Lancelot Da Costa, Thomas Parr, Noor Sajid, Sebastijan Veselic, Victorita Neacsu, Karl J. Friston (2020). Active inference on discrete state-spaces: A synthesis. Journal of Mathematical Psychology. DOI: 10.1016/j.jmp.2020.102447.
주요 표면
Model action and perception as a coupled fit between insect and environment, individually and collectively.
Treat colony-level foraging and recruitment as distributed inference with externalised memory.
Connect theory to behavioural data, active sensing, and insect-inspired autonomous systems.
관련 자료
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Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
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Public GitHub organization for Institute repositories and open-source work.
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Project repository for multiagent Active Inference modeling work.
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Generalized Notation Notation project repository for model communication.
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Geospatial modeling repository connected to ecological and bioregional applications.
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Research and publication-oriented repository for the Active Inference Journal.
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Public Project Preparation shortlink for making proposed work legible and actionable.
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Public project measurement shortlink for reporting progress and outputs.
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Public Active Inference Ontology shortlink for shared conceptual infrastructure.
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External paper repository surfaced from the official research page.
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Reachable arXiv reference surfaced from the official research page.
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Reachable arXiv reference surfaced from the official research page.
공식 페이지
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Official research entry point, currently resolving to the research overview.
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Official research overview page.
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Official Knowledge Engineering page.
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Official Active Blockference page.
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Official theoretical neurobiology page.
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Public projects shortlink for project directories and activity-linked work.
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Public project measurement shortlink for reporting progress and outputs.
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Public Active Inference Ontology shortlink for shared conceptual infrastructure.
저장소
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
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Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
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Python models and materials for ant-inspired multiagent Active Inference.
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Active Inference & Category Theory
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Public content repository for the Active Inference Journal and related publication infrastructure.
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Active Entity Ontology for Science
Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.