Part 6: Advanced Reasoning

Complex decision scenarios: Tree-of-Thoughts, multi-Agent debate, research synthesis

Chapter List

ChapterTitleCore Question
17Tree-of-ThoughtsHow to explore multiple reasoning paths?
18Debate PatternHow to improve decision quality through debate?
19Research SynthesisHow to synthesize multi-source information into reports?

Learning Objectives

After completing this Part, you will be able to:

  • Implement ToT (Tree-of-Thoughts) exploration and pruning
  • Design multi-Agent debate mechanisms
  • Build research synthesis workflows
  • Choose appropriate reasoning patterns

Shannon Code Guide

Shannon/
├── go/orchestrator/internal/workflows/
   ├── patterns/tot.go                 # Tree-of-Thoughts
   ├── patterns/debate.go              # Debate pattern
   └── research_workflow.go            # Research synthesis
└── docs/pattern-usage-guide.md

Pattern Selection Guide

ScenarioRecommended PatternReason
Open-ended problemsToTNeed to explore multiple possibilities
Controversial decisionsDebateMulti-angle argumentation
Information gatheringResearchMulti-source parallel + synthesis

Prerequisites

  • Part 1-5 completed
  • Decision theory fundamentals
  • Information retrieval basics
Cite this article
Zhang, W. (2026). Part 6: Advanced Reasoning. In AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems. https://waylandz.com/ai-agent-book-en/part6-overview
@incollection{zhang2026aiagent_en_part6_overview,
  author = {Zhang, Wayland},
  title = {Part 6: Advanced Reasoning},
  booktitle = {AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems},
  year = {2026},
  url = {https://waylandz.com/ai-agent-book-en/part6-overview}
}