This milestone focuses on the foundational development of symbolic graph tooling. It includes the design and implementation of the Fuzzy Probabilistic Bidirectional Graph (FPBG) compiler which translates structured and semi-structured data into graph-based symbolic representations. Additionally this phase introduces the FSM generator module responsible for converting semantic graph paths into symbolic finite state machines with weighted and optional transitions. This is critical for establishing the pipeline’s symbolic reasoning baseline.

A fully functioning FPBG compiler with API support FSM generator capable of handling both deterministic and fuzzy transitions Integration documentation and sample use cases (e.g. geo-patterns time series flows) Benchmark results on symbolic structure fidelity and transformation efficiency Source code under Apache 2.0 (for core tools)

$40,000 USD

Accurate conversion of at least three domain datasets into FPBG structure FSM generation maintaining at least 95% structural traceability from FPBGs Developer documentation reviewed by third-party engineers for clarity and integration ease API and symbolic outputs validated against predefined cognitive reasoning test cases

This milestone focuses on implementing a scalable Regex engine that consumes FSM paths generated from FPBGs and compiles them into fuzzy regular expressions. It will support pattern abstraction probabilistic weights and optionality logic. Crucially this phase includes the development of a parallel matching architecture enabling fast symbolic reasoning over large rule sets. The matcher will process streamed symbolic sequences to detect analogs predict next-state logic and validate reasoning paths in real time.

Fuzzy Regex compiler supporting weighted syntax extensions (e.g. A[0.9](B)?C*) Parallel Regex matcher with multithreaded or SIMD-ready backend Fuzzy symbolic pattern bank creation utility Evaluation suite demonstrating symbolic similarity discovery in two domains: Landform pattern sequences Financial/seismic time series events API and visual trace logs for Regex match decisions Sample integration with MeTTa-compatible symbolic inputs

$40,000 USD

Successful conversion of >90% FSM test cases into valid fuzzy Regex expressions Real-time matching throughput achieved at target <100 ms per sequence window Regex bank handles 10,000+ symbolic patterns concurrently in test scenarios Symbolic match accuracy confirmed against domain-labeled test sequences (≥85%) Regex engine outputs verifiable through AGI-compatible symbolic explanations

This milestone delivers the AGI integration layer by translating symbolic FSMs and Regex structures into MeTTa syntax and enabling full compatibility with the MORK graph backend. The module will support bidirectional conversion—allowing FSMs to be injected into Atomspace as symbolic constructs and extracted as MeTTa logic expressions. This ensures that AGI agents can traverse evaluate and evolve symbolic paths dynamically within the OpenCog Hyperon architecture.

Parser and emitter for FSM/Regex → MeTTa expression translation Symbolic pattern unification engine compatible with MeTTa match logic MORK schema integration for fuzzy weighted state-graphs Validation testbed with AGI agent simulations using symbolic reasoning paths Scripts for importing/exporting symbolic structures between external tools and MeTTa/MORK Documentation and examples covering symbolic use cases in AGI workflows

$40,000 USD

100% parsing success for FSM/Regex → MeTTa expressions on core symbolic test suite Successful loading and retrieval of symbolic FSM paths in MORK MeTTa agents able to reason over symbolic expressions and trigger Regex-based logic Round-trip integrity: MeTTa → FSM → Regex → MeTTa path reconstruction maintains ≥90% semantic fidelity Integration validated in a reproducible Hyperon simulation demonstrating agent-symbol interaction

This milestone focuses on applying the symbolic reasoning framework to two complex real-world domains: GeoAI and Multivariate Time Series Prediction (finance and seismic). The objective is to validate the expressiveness performance and generalizability of the symbolic FSM→Regex pipeline in practical reasoning scenarios. Domain-specific symbolic models will be generated compared and matched using fuzzy logic. Symbolic pattern prediction anomaly detection and analog discovery will be demonstrated with interpretable MeTTa output.

Symbolic FSM/Regex models derived from: Geospatial landform sequences (e.g. urban sprawl terrain erosion) Multivariate financial and seismic datasets (e.g. volatility shifts foreshocks) Prediction workflows that use Regex matching to infer next symbolic states AGI reasoning logs where MeTTa agents analyze symbolic outcomes Benchmark results: symbolic match accuracy reasoning traceability inference time Interactive demonstration package and documentation

$25,000 USD

Symbolic system correctly predicts symbolic patterns in ≥80% of GeoAI and time series validation cases MeTTa agents generate meaningful symbolic responses to cross-domain FSM sequences Demonstration logs show Regex-based detection of at least 2 distinct anomalies per domain Symbolic analogs identified across domains (e.g., landform ↔ market cycle) and verified by expert reviewers System performance metrics meet target benchmarks for speed, accuracy, and interpretability

This milestone finalizes the project by consolidating all modules validating full integration and preparing public-facing documentation. The open-source core will be packaged under the Apache 2.0 license while commercial modules will be referenced via protected APIs. Deliverables will include complete technical documentation AGI integration blueprints usage examples benchmark summaries and a sample reasoning library in MeTTa. A symbolic knowledge ruleset archive (Regex-based) will be published for research and reproducibility.

Public GitHub repository containing open modules: FPBG FSM compiler core Regex engine API references and developer guides for integration into AGI pipelines Visual architecture diagrams and symbolic trace visualizations Final milestone report with success metrics and outcome summaries Symbolic knowledge archive: Annotated Regex rulesets from use-case demonstrations Licensing documentation (Apache 2.0 Commercial RPL)

$5,000 USD

All open-source components are publicly accessible, documented, and build-verified Core modules reach a usability score of ≥9/10 from external reviewers Successful test integration by at least one external AGI agent or tool Licensing materials and IP model approved for project dissemination Demonstration video or recorded walkthrough available for community sharing