Cognition · Model asset

Neural Perception Model

Model assetCognitionCognition & Memoryarc:NeuralPerceptionModel

A trained neural network (e.g., CNN or classifier) that recognizes patterns in unstructured inputs such as images or sensor data and outputs detected features with confidence scores.

Responsibility. Recognizes perceptual patterns and scores them with confidence.

Also known as: CNN detector, Neural classifier, Vision model

Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

Perception Interpreter Ch5.13

is trained by lifecycle

Neuro-Symbolic Trainer Ch5.13

Quantitative guidance

As stated by the sources; verify before use.

Perception networks run at 30 FPS on dedicated GPUs; ~25 ms neural inference per frame (Ch5.13).

Classification

Patterns: Neural module networks (attention implementing symbolic operations)
Technologies: BERT-based extraction

Sources

Ch5.13: T. Nguyen, "Hybrid Decision Systems Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.13. ISBN: 9798244538229.