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Ecologists, environmental modelers, collective-behavior researchers, and applied field teams.

Active Inference and Ecology

A research scaffold for organisms, collectives, environments, and adaptive field systems.

最佳下一步行动

Active Inference and Ecology pathway

从本页最高信号的公开链接开始,然后继续浏览相关资源和目录视图。

Ecological applications of Active Inference ask how organisms, groups, and instruments infer environmental states while acting within them.

Why the domain fits

Ecology involves adaptive agents, uncertain environments, niche construction, and multi-scale feedback. Active Inference can organize those questions around perception, action, and viable states.

Application pattern

A domain report should distinguish biological theory, behavioral ecology, collective foraging, geospatial inference, and applied sensing. These layers share concepts but require different evidence and validation standards.

Evidence to collect next

The next pass should gather work on collective behavior, foraging, adaptive environmental monitoring, ecosystem modeling, and geospatial decision support, then classify each source by organism, scale, and intervention type.

Reference Backbone

Karl J. Friston (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience. DOI: 10.1038/nrn2787. Christopher L. Buckley, Chang Sub Kim, Simon McGregor, Anil K. Seth (2017). The free energy principle for action and perception: A mathematical review. Journal of Mathematical Psychology. DOI: 10.1016/j.jmp.2017.09.004. 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.

关键表面

Active Inference and Ecology at a glance

Organisms and niches

Study action and perception as a coupled fit between agent and environment.

Collectives

Track when the model describes individuals, groups, or ecosystem-level dynamics.

Field systems

Connect theory to sensing, geospatial data, and adaptive monitoring workflows.

相关资源

此页的公共链接

外部链接从共享注册表解析,这样面向访问者的目的地保持集中和可检查。

Repository / Projects

GitHub organization

Audience: Developer

Public GitHub organization for Institute repositories and open-source work.

projectsgithub-org
Repository / Projects

GEO-INFER repository

Audience: Developer

Geospatial modeling repository connected to ecological and bioregional applications.

projectsgeo-infer

官方页面

官方机构表面

仓库

相关开源仓库

Repository / Research

act_inf_metaanalysis

Audience: Researcher

Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.

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Repository / Research

Active_Inference_Ontology

Audience: Researcher

Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.

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Audience: Developer

Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.

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Repository / Projects

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Audience: Developer

Python models and materials for ant-inspired multiagent Active Inference.

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Repository / Research

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Audience: Researcher

Active Entity Ontology for Science

Unspecified / 8 stars / updated 2025-05-27

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Repository / Projects

ants

Audience: Developer

Public ants repository in the ActiveInferenceInstitute GitHub namespace.

Unspecified / 0 stars / updated 2021-08-29

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