Part of the SolveForce MEKAβLogOS Unified Framework
Purpose
Appendix AI connects all major types of Artificial Intelligence to:
- Practical SolveForce telecom & IT applications.
- MEKA Principles (P-codes) and Operational Protocols (OP-codes) for semantic integrity.
- LogOS graphemic & morphemic anchoring to prevent semantic drift.
This ensures AI is interpretable, interoperable, and future-proof across all systems.
AI Types with Practical Mappings
ANI β Artificial Narrow Intelligence
- Meaning: Single-task AI, highly specialized.
- Etymology: Artificial (Latin artificialis = βmade by artβ), narrow (Old English nearu), intelligence (Latin intellegere).
- SolveForce Use: VoIP auto-attendants, single-focus monitoring agents.
- MEKA: P-051 (Predictive Predicate) β OP-008 (Predictive Predicate Engine).
AGI β Artificial General Intelligence
- Meaning: AI that can learn and adapt in any domain.
- Etymology: General (Latin generalis).
- SolveForce Use: AI operators that manage SD-WAN, cloud, and cybersecurity together.
- MEKA: P-041 (Alignment with Living Language) β OP-018 (Morphemic Variance Generator).
ASI β Artificial Superintelligence
- Meaning: AI beyond human intellectual capacity.
- Etymology: Super (Latin super), intelligence as above.
- SolveForce Use: Theoretical advanced network self-defense.
- MEKA: P-046 (InflectionβReflectionβProjection Loop) β OP-019 (CoherenceβIncoherence Balancer).
Agentic AI
- Meaning: AI systems capable of autonomous goal-setting, decision-making, and action-taking without direct human instruction, often in multi-step or multi-domain environments.
- Etymology: Agentic (from agent, Latin agere = βto do, drive, actβ), AI as above.
- SolveForce Use: Intelligent network agents that can provision services, negotiate contracts, and resolve outages across multiple carriers automatically.
- MEKA: P-044 (Coexistence Principle), P-047 (Empirical Loop) β OP-015 (Cross-Lingual Etymology Mapper) and OP-017 (Contextual Conflict Resolution).
- Unique MEKA Function: Combines predictive and reactive protocols, integrating multiple AI types (NLP, ML, RL) in live agent workflows while retaining semantic root integrity.
ML β Machine Learning
- Meaning: Data-driven pattern learning.
- Etymology: Machine (Latin machina), learning (Old English leornian).
- SolveForce Use: Predictive load balancing, anomaly detection.
- MEKA: P-047 (Empirical Loop) β OP-011 (Semantic Gravity Analysis).
DL β Deep Learning
- Meaning: ML with multi-layer neural networks.
- Etymology: Deep (Old English deop), learning as above.
- SolveForce Use: Security camera AI, complex image classification.
- MEKA: P-054 (Semantic Gravity Generator) β OP-012 (Productive Anomaly Integration).
NLP β Natural Language Processing
- Meaning: AI that understands and processes human language.
- Etymology: Natural (Latin naturalis), language (Latin lingua), process (Latin procedere).
- SolveForce Use: Real-time translation in VoIP, AI call routing.
- MEKA: P-037 (DNA of Meaning), P-039 (Etymological Purity) β OP-002 (SARP).
CV β Computer Vision
- Meaning: AI for interpreting visual data.
- Etymology: Computer (Latin computare), vision (Latin visio).
- SolveForce Use: Telecom site inspections, remote visual monitoring.
- MEKA: P-038 (Geometry of Instruction) β OP-005 (GLEP).
RL β Reinforcement Learning
- Meaning: Trial-and-reward-based learning.
- Etymology: Reinforce (Latin infortis), learning as above.
- SolveForce Use: ISP routing optimization in multi-carrier scenarios.
- MEKA: P-045 (Grace Loop) β OP-017 (Contextual Conflict Resolution).
XAI β Explainable AI
- Meaning: Transparent AI reasoning.
- Etymology: Explain (Latin explanare).
- SolveForce Use: Compliance reporting for AI-managed network security.
- MEKA: P-050 (Self-Revelation & Ambiguity Closure) β OP-009 (Ethics Audit Check).
Hybrid AI
- Meaning: Multiple AI types combined.
- Etymology: Hybrid (Latin hybrida).
- SolveForce Use: AI NOC integrating NLP, ML, and CV.
- MEKA: P-044 (Coexistence Principle) β OP-018 (Morphemic Variance Generator).
AI Type to SolveForce Service Mapping
AI Type | SolveForce Use | MEKA Principle(s) | MEKA Protocol(s) |
---|---|---|---|
ANI | VoIP auto-attendants | P-051 | OP-008 |
AGI | Multi-domain AI ops | P-041 | OP-018 |
ASI | Autonomous network defense | P-046 | OP-019 |
Agentic AI | Cross-carrier autonomous provisioning & negotiation | P-044, P-047 | OP-015, OP-017 |
ML | Predictive network load | P-047 | OP-011 |
DL | Camera AI security | P-054 | OP-012 |
NLP | Real-time translation | P-037, P-039 | OP-002 |
CV | Site inspections | P-038 | OP-005 |
RL | Dynamic load balancing | P-045 | OP-017 |
XAI | Compliance AI | P-050 | OP-009 |
Hybrid | AI-driven NOC | P-044 | OP-018 |
Why This Matters
- Operational Clarity: No AI term left undefined or floating without context.
- Cross-System Compatibility: Mapped to MEKA so any system can interpret and integrate.
- Preventing Drift: Each term anchored to etymology and MEKA/LogOS principles.