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Multi-agent system

As explained in Investing for Programmers

A multi-agent pattern is an architecture in which multiple specialized agents collaborate through coordinated and integrated reasoning.

A multi-agent system coordinates several specialized agents to solve a complex task collaboratively. An orchestrator or moderator keeps their work synchronized and integrates their outputs. section 9.1.2

The pattern is useful when a task benefits from:

  • Parallel analysis, with agents handling different perspectives or capabilities. section 9.1.2
  • Delegated reasoning, where an orchestrator coordinates specialized contributions. section 9.1.2
  • Diverse judgments, which can make deliberation more robust than relying on one viewpoint. section 9.1.2

Stock buy deliberation

An optimist argues from growth, profitability, and momentum; a skeptic examines downside risk, macroeconomic headwinds, and overvaluation; an adjudicator weighs both arguments and produces the recommendation. section 9.1.2

How Investing for Programmers covers it

How deep it goes
Explains specialization, parallelism, orchestration, and deliberation, but does not specify implementation protocols or agent code.
Examples
Uses an investment workflow and a courtroom-style panel of optimist, skeptic, and adjudicator agents.
What you can do after
Evaluate multi-agent investment-analysis designs by mapping specialized roles to coordinated recommendations.
How it connects
Connects orchestration with planning, parallelism, specialization, delegated reasoning, and workflow automation.

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This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.