Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents - Marjane Mall - Image 1
220
00DH
300.00 DH
-27%

Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents

Livraison

Détails
Frais de livraison à partir de :
Livraison entre le Vendredi 19 juin 2026 et le Samedi 20 juin 2026

À propos de cet article :

Marque : GENERIC
Vendu par HEAVENBOOKS.MA

How to build applications where multiple AI agents reliably collaborate to solve new types of complex tasks.In Designing Multi-Agent Systems, you'll take a first principles approach to learn to design and implement reliable, agentic applications from scratch, understand why their architectures work, and master patterns for collaboration, observabil...

1

Mode de paiement

Paiement par carte bancaire
Carte marocaines
Paiement à la livraison
Paiement en espèce à la livraison
Politique de retours
Note de politique de retour
Description produit
Marque
GENERIC
Titre principal
Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents
Type de produit
Paperback
Présentation du livre
Paperback
Release date
12 Nov. 2025
Langue d'origine
English
ISBN
8986378906
Dimensions
19.05 x 2.26 x 23.5 cm
Nombre de pages de livre
394 pages
Langue - Librairie
English
Résumé
How to build applications where multiple AI agents reliably collaborate to solve new types of complex tasks.In Designing Multi-Agent Systems, you'll take a first principles approach to learn to design and implement reliable, agentic applications from scratch, understand why their architectures work, and master patterns for collaboration, observability, interruptibility, and trust. These principles remain useful as the ecosystem evolves, giving you the tools to build scalable, robust, and human-centered agentic systems, whether in research or production.Inside, you’ll explore:Multi-Agent Fundamentals — Core concepts and design patterns for multi-agent collaborationBuild from Scratch — Step-by-step guidance for implementing agents, tools, as well as deterministic workflows and autonomous orchestration patterns.Evaluation & Reliability — Learn trajectory-based testing, structured outputs, observability, and performance metrics to ensure agents behave predictably.UX and Trust Principles — Apply human-centered design principles like interruptibility, capability discovery, and transparent decision-making to build agents users can rely on.Distributed Agent Protocols — Learn how protocols like MCP and A2A build enable distributed multi-agent systems that operate across networks, regions, and organizations.Rather than teaching specific frameworks, this book gives you the mental models and first-principles reasoning through implementing a feature complete picoagents library with the same foundational concepts that power today's most capable multi-agent frameworks — from AutoGen and LangGraph to CrewAI and beyond. You'll come away able to design agentic systems that remain robust and useful as the ecosystem evolves.Praise for the Book"As a researcher at Microsoft who is close to the leading edge of Agentic capabilities, works with Microsoft customers on real world applications, and with the Autogen team on building the agent framework, Victor has a unique vantage point. He use
Auteur(s)
Victor Dibia
Date de parution
12 Nov. 2025