Yapay Zekalar icin Visualization Hatirlatmalari
STATE MACHINE - state geçişleri, transition kuralları, terminal states
BOX DIAGRAM (Black/White) - abstraction level, detay gizleme/gösterme
FLOW CHART - sequential flow, conditional branching, merge points
DECISION TREE - hierarchical decisions, criteria-based branching
FEEDBACK LOOP - circular causality, self-regulation, reinforcing/balancing
CAUSAL LOOP - causal chains, feedback polarity (+/-), delays
HIERARCHY / TREE - parent-child, depth levels, breadth
PROCESS PIPELINE - sequential stages, data transformation
LAYERED ARCHITECTURE - separation of concerns, abstraction layers
NETWORK / GRAPH - nodes, edges, connections, topology
MATRIX / GRID - two-dimensional, row/column relationships
VENN DIAGRAM - set relationships, intersection, union
TIMELINE / SEQUENCE - temporal ordering, before/after, dependencies
INPUT-OUTPUT TRANSFORMATION - function mapping, side effects
CONTAINER / SCOPE - nesting, scope boundaries, containment
A ──> B ──╮
│
╰──> C ──> D
Start ──╮
│
╰───╮
│
╰───> End
┌──────────────┐
│ voice msg │
└──────┬───────┘
▼
◉ voice_received ◄────────────────┐
▼ │
voice_transcribe │
▼ │
◉ voice_transcribed (TEXT) │
│ │
├──────────┬─────────┐ │
▼ ▼ ▼ │
text_synthesize translate tag │
│ │ │ │
▼ ▼ ▼ │
◉ voice_ ◉ text_ ◉ tag_ │
synthesized translated selection │
(VOICE) (TEXT) (SPECIAL) │
│ │ │
└──────────┴──────────────────┘
▲ │
└─────────────────────┘PATTERN: Her model bir abstraction level seçer ve belirli bir görünüm sağlar. CONSTRAINT: Model seçimi soruya bağlıdır — state geçişleri için state machine, hiyerarşi için tree, zaman için timeline.
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