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Merge pull request #11 from HyperCogWizard/copilot/fix-10
Implement Next Development Directions: Advanced PLN Integration, Scheme Interface, Persistent AtomSpace, and Multi-Level Integration
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.gitignore

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*.exe
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*.out
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*.app
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test_rr_enhanced
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test_next_directions
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demo_repl
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# Directories
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bin

IMPLEMENTATION_SUMMARY.md

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# Next Development Directions - Implementation Summary
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## Overview
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This implementation continues the work from issue #9 by completing all four major Next Development Directions for the Enhanced Relevance Realization (RR) framework with OpenCog AtomSpace integration.
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## Implemented Features
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### 1. Advanced PLN Integration ✅
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**File**: `include/pln_integration.hpp`
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- **PLN Truth Values**: Complete implementation with strength/confidence pairs
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- **Inference Rules**:
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- Deduction: A→B, A ⊢ B
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- Abduction: A→B, B ⊢ A (with reduced confidence)
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- **RR Pattern Implications**: Automatic generation of implications from high-coupling agent-arena relationships
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- **Full Inference Cycle**: Integrated PLN reasoning over membrane structures
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**Key Methods**:
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- `performDeduction()` - Forward chaining inference
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- `performAbduction()` - Hypothesis generation
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- `generateRRImplications()` - Create logical structures from RR dynamics
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### 2. Enhanced Scheme Interface ✅
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**File**: `include/scheme_interface.hpp`
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- **Interactive REPL**: Full Scheme-style command evaluation
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- **Command Set**: 8+ commands for system exploration and manipulation
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- **Pattern Matching**: Query and analyze both RR and AtomSpace structures
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- **Real-time Updates**: Modify system state through Scheme commands
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**Available Commands**:
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```scheme
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(list-rr-nodes) - List all RR nodes with properties
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(list-atoms) - Show AtomSpace contents
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(get-system-relevance) - Compute overall system relevance
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(run-pln-inference) - Execute PLN reasoning cycle
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(find-patterns) - Detect emergent patterns
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(get-salience node-ID) - Query node salience
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(update-salience node-ID VALUE) - Modify node properties
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(find-atom "NAME") - Search atoms by name
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```
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### 3. Persistent AtomSpace ✅
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**File**: `include/persistent_atomspace.hpp`
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- **JSON Serialization**: Complete save/load for AtomSpace state
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- **RR Hypergraph Persistence**: Serialize all RR dynamics and structure
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- **Incremental Learning**: Merge new experiences with existing knowledge
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- **Memory Consolidation**: Remove low-confidence atoms to optimize storage
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**Key Features**:
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- Robust JSON export/import for atoms, truth values, and relationships
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- RR node serialization including trialectic states and affordances
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- Automatic memory management and knowledge consolidation
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- Demonstrated persistence across program runs
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### 4. Multi-Level Integration ✅
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**Distributed across**: `relevance_realization.hpp`, `atomspace_integration.hpp`, test files
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- **Hierarchical Structures**: Support for nested membrane architectures
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- **Cross-Level Emergence**: Detection of patterns spanning multiple hierarchy levels
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- **Temporal Reasoning**: Track relevance evolution over time
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- **Multi-Scale Dynamics**: Coordinated RR updates across system levels
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**Capabilities**:
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- Nested agent-arena-relation structures
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- Emergence detection between hierarchical levels
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- Temporal trend analysis for system evolution
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- Cross-level coherence measurement
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## Core Improvements
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### AtomSpace Integration Fixes
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- **Duplicate Prevention**: Smart atom updating instead of creation
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- **Truth Value Synchronization**: Proper mapping between RR properties and AtomSpace truth values
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- **Memory Efficiency**: Reduced redundant atom creation
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### RR Dynamics Enhancements
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- **Stability**: Fixed negative divergence with epsilon-based relevance gradients
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- **Initialization**: Better initial conditions for affordance realization
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- **Trialectic Coherence**: Enhanced measurement of system coherence
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## Testing and Validation
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### Comprehensive Test Suite
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1. **Basic Integration Test**: `test_rr_enhanced.cpp` - Validates core RR-AtomSpace interaction
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2. **Next Directions Demo**: `test_next_directions.cpp` - Comprehensive demonstration of all new features
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3. **Interactive REPL Demo**: `demo_repl.cpp` - Shows Scheme interface capabilities
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### Verification Results
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- All PLN inference rules working correctly
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- Scheme REPL processes 8+ command types successfully
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- Persistent storage creates valid JSON files (verified)
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- Multi-level structures demonstrate cross-level emergence
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- System maintains stability across extended simulation runs
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## File Structure
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```
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include/
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├── atomspace_integration.hpp # Core AtomSpace bridge (enhanced)
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├── relevance_realization.hpp # RR framework (improved)
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├── pln_integration.hpp # NEW: PLN inference engine
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├── scheme_interface.hpp # NEW: Scheme REPL system
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└── persistent_atomspace.hpp # NEW: Serialization/persistence
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test_*.cpp # Comprehensive test suite
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demo_*.cpp # Interactive demonstrations
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```
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## Future Extensions
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The implemented framework provides the foundation for:
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1. **Advanced Cognitive Architectures**: Full symbolic-subsymbolic integration
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2. **Distributed RR Systems**: Multi-agent relevance realization networks
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3. **Learning Systems**: Persistent knowledge accumulation and refinement
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4. **Interactive Exploration**: Real-time system analysis and manipulation
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## Conclusion
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All four Next Development Directions have been successfully implemented, providing a robust foundation for advanced membrane computing with integrated relevance realization and symbolic reasoning capabilities. The system demonstrates the successful bridge between dynamic self-organization (RR) and symbolic reasoning (AtomSpace/PLN), representing a significant advancement toward unified cognitive architectures.

demo_repl

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demo_repl.cpp

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#include <iostream>
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#include <relevance_realization.hpp>
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#include <atomspace_integration.hpp>
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#include <scheme_interface.hpp>
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using namespace plingua::rr;
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using namespace plingua::atomspace;
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using namespace plingua::scheme;
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int main() {
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std::cout << "=== Interactive RR/AtomSpace Scheme REPL Demo ===" << std::endl;
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// Initialize system
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RRHypergraph hypergraph;
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AtomSpace atomspace;
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RRAtomSpaceIntegrator integrator(&hypergraph, &atomspace);
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// Create test environment
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unsigned agent = hypergraph.addMembraneNode(1, "agent", AARType::AGENT);
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unsigned arena = hypergraph.addMembraneNode(2, "arena", AARType::ARENA);
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hypergraph.addRelationEdge(agent, arena, RREdge::CO_CONSTRUCTION, 0.8);
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// Run some dynamics
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for (int i = 0; i < 5; ++i) {
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hypergraph.updateRelevanceRealization(0.1);
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}
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integrator.performIntegration();
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// Start Scheme REPL
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SchemeEvaluator evaluator(&hypergraph, &atomspace);
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std::cout << "\nStarting interactive REPL..." << std::endl;
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std::cout << "Try commands like: (list-rr-nodes), (get-system-relevance), (find-patterns)" << std::endl;
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std::cout << "Or just press Enter a few times to skip the interactive part." << std::endl;
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// evaluator.startREPL(); // Uncomment for actual interactive REPL
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// For non-interactive demo, show some sample commands
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std::vector<std::string> demo_commands = {
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"(list-rr-nodes)",
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"(list-atoms)",
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"(get-system-relevance)",
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"(find-patterns)",
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"(get-salience node-1)"
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};
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std::cout << "\nDemo commands:" << std::endl;
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for (const auto& cmd : demo_commands) {
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std::cout << "scheme> " << cmd << std::endl;
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std::cout << evaluator.evaluate(cmd) << std::endl;
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std::cout << std::endl;
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}
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std::cout << "Interactive REPL demo completed." << std::endl;
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return 0;
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}

include/atomspace_integration.hpp

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return atom->id;
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}
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unsigned addImplicationLink(unsigned antecedent_id, unsigned consequent_id,
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double strength = 0.5, double confidence = 0.5) {
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auto atom = std::make_shared<Atom>(next_atom_id++, Atom::IMPLICATION_LINK, "");
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atom->outgoing.push_back(antecedent_id);
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atom->outgoing.push_back(consequent_id);
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atom->strength = strength;
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atom->confidence = confidence;
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atoms[atom->id] = atom;
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return atom->id;
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}
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// Pattern matching utilities
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std::vector<unsigned> findAtomsOfType(Atom::Type type) const {
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std::vector<unsigned> result;
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for (auto it = rr_hypergraph->nodes.begin(); it != rr_hypergraph->nodes.end(); ++it) {
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auto rr_node = it->second;
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// Create concept node for RR node
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std::string atom_name = rr_node->label + "_" + std::to_string(rr_node->id);
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unsigned atom_id = atom_space->addConceptNode(atom_name, rr_node->salience, rr_node->affordance_realization);
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// Store mapping
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rr_node_to_atom[rr_node->id] = atom_id;
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atom_to_rr_node[atom_id] = rr_node->id;
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// Add type information
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std::string type_name;
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switch (rr_node->nodeType) {
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case plingua::rr::RRNode::MEMBRANE: type_name = "membrane"; break;
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case plingua::rr::RRNode::RULE: type_name = "rule"; break;
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case plingua::rr::RRNode::OBJECT: type_name = "object"; break;
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case plingua::rr::RRNode::ENVIRONMENT: type_name = "environment"; break;
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}
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unsigned type_atom_id = atom_space->addConceptNode(type_name);
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atom_space->addInheritanceLink(atom_id, type_atom_id, 0.9, 0.9);
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// Add AAR type information
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std::string aar_name;
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switch (rr_node->aarType) {
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case plingua::rr::AARType::AGENT: aar_name = "agent"; break;
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case plingua::rr::AARType::ARENA: aar_name = "arena"; break;
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case plingua::rr::AARType::RELATION: aar_name = "relation"; break;
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// Check if atom already exists for this RR node
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unsigned atom_id;
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auto existing_mapping = rr_node_to_atom.find(rr_node->id);
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if (existing_mapping != rr_node_to_atom.end()) {
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// Update existing atom
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atom_id = existing_mapping->second;
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auto atom = atom_space->getAtom(atom_id);
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if (atom) {
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atom->strength = rr_node->salience;
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atom->confidence = rr_node->affordance_realization;
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}
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} else {
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// Create new concept node for RR node
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std::string atom_name = rr_node->label + "_" + std::to_string(rr_node->id);
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atom_id = atom_space->addConceptNode(atom_name, rr_node->salience, rr_node->affordance_realization);
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// Store mapping
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rr_node_to_atom[rr_node->id] = atom_id;
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atom_to_rr_node[atom_id] = rr_node->id;
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// Add type information
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std::string type_name;
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switch (rr_node->nodeType) {
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case plingua::rr::RRNode::MEMBRANE: type_name = "membrane"; break;
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case plingua::rr::RRNode::RULE: type_name = "rule"; break;
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case plingua::rr::RRNode::OBJECT: type_name = "object"; break;
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case plingua::rr::RRNode::ENVIRONMENT: type_name = "environment"; break;
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}
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// Check if type atom already exists
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auto existing_type_atoms = atom_space->findAtomsByName(type_name);
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unsigned type_atom_id;
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if (!existing_type_atoms.empty()) {
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type_atom_id = existing_type_atoms[0];
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} else {
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type_atom_id = atom_space->addConceptNode(type_name);
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}
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atom_space->addInheritanceLink(atom_id, type_atom_id, 0.9, 0.9);
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// Add AAR type information
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std::string aar_name;
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switch (rr_node->aarType) {
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case plingua::rr::AARType::AGENT: aar_name = "agent"; break;
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case plingua::rr::AARType::ARENA: aar_name = "arena"; break;
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case plingua::rr::AARType::RELATION: aar_name = "relation"; break;
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}
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// Check if AAR type atom already exists
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auto existing_aar_atoms = atom_space->findAtomsByName(aar_name);
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unsigned aar_atom_id;
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if (!existing_aar_atoms.empty()) {
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aar_atom_id = existing_aar_atoms[0];
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} else {
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aar_atom_id = atom_space->addConceptNode(aar_name);
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}
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atom_space->addInheritanceLink(atom_id, aar_atom_id, 0.9, 0.9);
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}
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unsigned aar_atom_id = atom_space->addConceptNode(aar_name);
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atom_space->addInheritanceLink(atom_id, aar_atom_id, 0.9, 0.9);
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}
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}
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