ActiveInferenceInstitute

Ada implementation of Active Inference with belief updating, free energy minimization, and policy selection

Assembly implementation of Active Inference with belief updating, free energy minimization, and policy selection

Brainfuck implementation of Active Inference with belief updating, free energy minimization, and policy selection

C implementation of Active Inference with belief updating, free energy minimization, and policy selection

Clojure implementation of Active Inference with belief updating, free energy minimization, and policy selection

COBOL implementation of Active Inference with belief updating, free energy minimization, and policy selection

Common Lisp implementation of Active Inference with belief updating, free energy minimization, and policy selection

C++ implementation of Active Inference with belief updating, free energy minimization, and policy selection

Geospatial Active Inference framework with 44 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate, energy, transport, marine, forestry, water).

Statistical Parametric Mapping for geospatial data. Use when performing GLM-based spatial analysis, random field theory corrections, cluster-level inference, or neuroimaging-style statistical mapping on geographic datasets.

Ant Colony Optimization and swarm intelligence for geospatial problems. Use when solving spatial optimization with ACO, PSO, ABC algorithms, implementing stigmergic coordination, or optimizing geographic routing and resource allocation with bio-inspired methods.

H3 hexagonal spatial indexing and multi-backend spatial operations. Use when working with H3 cells, spatial indexing, coordinate systems, raster/vector operations, or any spatial backend dispatch (H3, SRAI, PostGIS).

Unified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results.

Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, generative spatial art, interactive cartographic displays, animation sequences, or aesthetically-focused geographic rendering.

Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.

Communication systems for geospatial coordination. Use when implementing spatial messaging, multi-channel notifications (email/SMS/push), event streaming, spatial message routing, or subscriber management for geographic broadcasts.

Generalized Notation Notation (GNN) processing pipeline for Active Inference generative models. Use when working with GNN files, running the 25-step pipeline, parsing model specifications, generating simulations, or producing visualizations and reports from GNN model definitions.

GNN command-line interface dispatch and health checks. Use when invoking the `gnn` CLI, validating subcommand availability, or checking command-line access to pipeline modules.

GNN LLM-enhanced analysis and model interpretation. Use when generating natural language descriptions of GNN models, getting AI-assisted model explanations, or performing LLM-powered analysis of Active Inference specifications.

GNN Language Server Protocol integration. Use when starting editor diagnostics, checking hover behavior, or validating LSP support for GNN files.

GNN Model Context Protocol processing and tool registration. Use when registering GNN operations as MCP tools, building MCP server configurations, or integrating GNN capabilities with LLM tool-use workflows.

GNN pipeline orchestration and configuration management. Use when configuring pipeline execution, setting step inclusion/exclusion, managing pipeline state, or customizing the 25-step execution flow.

GNN code generation for simulation frameworks. Use when generating PyMDP, RxInfer.jl, ActiveInference.jl, JAX, DisCoPy, PyTorch, NumPyro, Stan, or bnlearn code from GNN model specifications.

GNN comprehensive test suite execution and management. Use when running tests, writing new test cases, checking coverage, debugging test failures, or validating pipeline correctness across all 25 GNN modules.

Orchestration for bibliometrics, topological network analysis, and hypothesis scoring.

Core inference logic, prompt construction, and RDF/Nanopublication serialization.

Operations for federated API querying across OpenAlex, Semantic Scholar, and arXiv.

Tooling for injecting JSON/CSV statistics into Markdown evaluation templates.

Core orchestration guidelines and MCP interactions for the src/ library.

Orchestrates matplotlib and seaborn pipelines for rendering figures.

Master Cohere v2 Chat API with Python, specializing in entity extraction using JSON Schema mode for structured outputs. Use when extracting entities from text, building data extraction pipelines, implementing NER systems, or requiring validated JSON responses from LLMs.

Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries. Use when working with SurrealDB databases, implementing graph traversal, semantic search with embeddings, or building RAG applications.

AI agent skill for the Active Inference Institute courses repository. Covers course content, the Python publishing engine, and CI/test infrastructure.

START — Scalable, Tailored Active-inference Research & Training. An AI-powered system for creating personalized Active Inference and FEP curricula. Pipeline: research (Perplexity) → curriculum generation (OpenRouter) → visualization → translation.

Work on the Active Inference Institute public website (repos/institute_website): a static, zero-dependency Node build that renders JSON content into clean-URL HTML for GitHub Pages, with a strict CSP + link + public-safety contract. USE WHEN adding or editing a page, adding a project, registering an external link, changing navigation, adding a language/locale, editing the design system, changing legacy-URL redirects, doing the domain cutover, or running the build and check gates. Covers the page schema, the slug→URL taxonomy, the live-sources external-anchor gate, and the verification workflow.