Initialize the engine
Run the local command and produce a public-safe candidate trace without exposing private workspace material.
Tier 4 - Synthetic intelligence - Public pre-alpha
Synthia
Synthetic Intelligence for Biology & Classification
Synthia Engine: lexical intelligence and uncertainty management.
Synthia combines lexical intelligence, biological classification, and neutrosophic review to keep scientific memory traceable, source-bound, and ready for human validation.
Design in collaboration with Hector Aguilar.
Plithogenic Engine
Neutrosophic T-I-F
Classification Memory
Local-first
1 - Start in 15 minutes
Load concepts
Keep source objects, terms, relations, and unresolved layers attached to the memory packet.
Analyze T-I-F
Represent truth, indeterminacy, and falsity without flattening uncertainty into a single confident answer.
Export the report
Publish a static Trace Lab surface with JSON provenance and a clear human-review boundary.
2 - Key functionality
LI
Lexical Intelligence
Specialized language models for scientific terms, semantic extraction, disambiguation, and contextual relationships.
- Specialized linguistic models
- Biological entity extraction
- Semantic and contextual relations
DNA
Biological Classification
Structure candidate knowledge across taxonomies, source layers, and ontology-aware review boundaries.
- Taxonomy-aware memory objects
- Multi-level classification context
- Adaptive clustering and grouping
TIF
Uncertainty Management
Neutrosophic analysis keeps truth, indeterminacy, falsity, and review status explicit.
- Truth - Indeterminacy - Falsity
- Interpretation remains review-bound
- No autonomous scientific authority
Plithogenic Engine
Modular architecture combining lexical intelligence, biological rules, knowledge networks, and neutrosophic calculation for robust, explainable candidate memory.
ExplainableModularResilientAdaptive
3 - Dashboard and analysis
Neutrosophic analysis
T0.72Truth
I0.18Indeterminacy
F0.10Falsity
Global uncertainty level: 18%
Classification context
- Realm
- Plantae
- Order
- Rosales
- Family
- Rosaceae
- Species
- Rosa canina
Confidence and coherence
Evidence is presented as traceable support, not as final scientific authority.
Aburria trace summary
- Formal name
- Aburria aburri
- Authority
- Lesson, 1828
- Redescription
- Aguilar H. F. & R. F. Aguilar, 2012
- Status
- Human review required
4 - Scientific memory layers
Source Objects
Evidence enters as bounded public objects.
Lexicon State
Terms and relations remain explicit.
T-I-F Review
Contradiction and uncertainty stay visible.
Candidate Memory
The trace is prepared for human review.
python -m synthia_core.cli taxonomy aburria-packetConfidentiality / local-first
The public landing is static and public-safe. It exposes no private evidence, API key, Gmail, Drive, or workspace secrets.
Access support
Theme, contrast, text size, reduced motion, Autism Calm, ADHD Sprint, and Deep Work apply to the full page and are stored locally only.
Educational license
SEL-2.0 supports education, research, simulation, classroom training, and supervised learning.
Explore Synthia with its sources attached.
Open the Trace Lab, inspect the public JSON, or review the source repository.