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BayesiaLabHellixiaExamples

Hellixia Examples

Hellixia turns prompts, documents, narratives, and expert context into semantic networks, knowledge graphs, causal diagrams, and Bayesian networks.

From a Single Question to a Full Bayesian Network Model
Workflow Tutorial
From a Single Question to a Full Bayesian Network Model
A six-step Hellixia and HellixMap pipeline from one supply-chain question to semantic, causal, probabilistic, and WebSimulator assets.
Cartographer of Causality
Webinar
Cartographer of Causality
Mapping Tocqueville's thought with AI-assisted knowledge elicitation, semantic graphs, causal models, and Bayesian networks.
Graph Intelligence for Explainable Decision-Making
Conference Presentation
Graph Intelligence for Explainable Decision-Making
Dr. Lionel Jouffe presents the BayesiaLab, Hellixia, and HellixMap ecosystem for explainable graph intelligence.

Explore by Modeling Objective

Conceptual and Cultural Maps
Semantic Networks
Conceptual and Cultural Maps
Philosophy, literature, lyrics, cinema, animals, and concept vocabularies modeled as semantic networks.
Typed Relationships and Structured Knowledge
Knowledge Graphs
Typed Relationships and Structured Knowledge
HellixMap examples that move beyond proximity into explicit relationship verbs and navigable graph structures.
From Meaning to Causal Mechanisms
Causal Semantic Diagrams
From Meaning to Causal Mechanisms
Causal-only relationship maps for philosophical, historical, medical, and policy-oriented domains.
Probabilistic Decision Models
Causal Bayesian Networks
Probabilistic Decision Models
Generated causal networks with probabilistic structure for medicine, transportation, user feedback, and accident analysis.
Narratives to Risk Models
Risk-Centric Causal Networks
Narratives to Risk Models
AI-generated risk structures from narratives, intelligence-style sources, crisis scenarios, and technical literature.
Interactive Graph Communication
HellixMap
Interactive Graph Communication
Publish and explore generated graphs as interactive, shareable knowledge maps.

Explore by Domain

Philosophy and Ideas
Examples
Philosophy and Ideas
Political philosophy, metaphysics, philosophical dialogue, Western philosophy maps, and HellixMap knowledge structures.
Literature
Examples
Literature
Shakespeare, Flaubert, Dickens, Eliot, Melville, Joyce, Rushdie, and other literary works as semantic model examples.
Song Lyrics
Examples
Song Lyrics
Short narrative texts, motifs, characters, settings, and emotional structures extracted from selected songs.
Movies and Cinema
Examples
Movies and Cinema
Film narratives analyzed through characters, settings, events, themes, and semantic relationships.
Animals and Concept Seeds
Examples
Animals and Concept Seeds
Compact examples for animal topics and Dimension Elicitor vocabulary exploration.
Causality
Examples
Causality
Causal semantic networks and causal Bayesian networks generated from domain concepts, narratives, and known variables.

Tutorials and Webinars

Harnessing Hellixia
Tutorial
Harnessing Hellixia
An introduction to Hellixia for semantic embeddings, causal modeling, and Bayesian network construction.
Discovering Complex Causal Structures with Hellixia
Webinar
Discovering Complex Causal Structures with Hellixia
Pairwise causal links, structural priors, causal arc explanations, and generated causal networks.
From Narratives to Networks
Webinar
From Narratives to Networks
Transforming textual feedback into causal Bayesian networks for market research and decision support.
AI-Powered Graph Creation with HellixMap
Webinar
AI-Powered Graph Creation with HellixMap
Generate, visualize, navigate, and share knowledge graphs and Bayesian network structures.
Key Driver Analysis with Hellixia Support
Webinar
Key Driver Analysis with Hellixia Support
Using Hellixia to characterize latent factors in a Bayesian network workflow for survey-based decision support.
Smarter Segmentation
Webinar
Smarter Segmentation
Bayesian networks and Hellixia-generated interpretation for consumer segments and communication reach.

Conference Presentations by Dr. Lionel Jouffe

Graph Intelligence for Explainable Decision-Making
2025 Conference
Graph Intelligence for Explainable Decision-Making
A graph-intelligence ecosystem where BayesiaLab and HellixMap connect expert knowledge, data science, and generative AI.
What Is Chance?
2025 Conference
What Is Chance?
A philosophical chain of reasoning reconstructed with LLMs and HellixMap semantic and causal diagrams.
Hellixia and Generative AI
2024 Conference
Hellixia and Generative AI
Creating semantic and causal Bayesian networks for decision support with Hellixia.
Native ChatGPT Integration
2023 Conference
Native ChatGPT Integration
The conference presentation that introduced BayesiaLab's native ChatGPT integration and the foundations of Hellixia.
Innovations in Knowledge Elicitation
2022 Conference
Innovations in Knowledge Elicitation
The immediate knowledge-elicitation lineage that connects BEKEE, expert workflows, and later Hellixia capabilities.
Guide
Hellixia User Guide
Function-level reference for Dimension Elicitor, embeddings, causal generators, knowledge graphs, and model enrichment.
Feature Area
Knowledge Mining in BayesiaLab
Background on turning language, documents, and human knowledge into model structures.
Product
HellixMap
Interactive graph visualization and communication for Hellixia-generated knowledge structures.
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