agent-o-rama

Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems

Version: 1.0.0
Trit: +1 (Generator - produces learned patterns)
Bundle: learning

Overview

Agent-o-rama trains learning agents on interaction sequences to discover behavioral patterns. It extracts temporal, topic, and network patterns from raw interaction data, producing models compatible with the cognitive-surrogate skill.

NEW (Langevin/Unworld Integration): Agent-o-rama now supports both:

1. Temporal Learning (traditional): Train interaction predictor via epochs
2. Derivational Generation (unworld): Generate equivalent patterns via seed chaining (100x faster, deterministic)

Capabilities

1. train-interaction-predictor