Phase 1: Topologies & Roles · ~60 minutes · Python (stdlib)

Society of Mind and Multi-Agent Debate

Minsky's 1986 premise — intelligence is a society of specialists — gets rediscovered every decade.

Hiring signal: Can operate society of mind and multi-agent debate in production

Introduction

In 2023 Du et al. turned it into a concrete algorithm: multiple LLM instances propose answers, read each other's answers, critique, and update. Over N rounds they converge on a consensus that beats zero-shot CoT and reflection on six reasoning and factuality tasks. Two findings matter: both multiple agents and multiple rounds contribute independently. The society beats a single-agent monologue; the multi-round exchange beats one-shot voting.

Type: Learn + Build Languages: Python (stdlib) Prerequisites: Phase 16 · 04 (Primitive Model) Time: ~60 minutes

Objective

Learning objectives

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You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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Key terms in this lesson

Agent