A 7x6 matrix classifies AI agent patterns into 27 types by combining cognitive functions and execution topologies, yielding five empirical laws linking task constraints to architectural choices.
ReAct: Synergizing reasoning and acting in language models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology
A 7x6 matrix classifies AI agent patterns into 27 types by combining cognitive functions and execution topologies, yielding five empirical laws linking task constraints to architectural choices.