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The Multi-Agent Programming Contest 2021
One-and-a-Half Decades of Exploring Multi-Agent Systems
2021
EN
This book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020.It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest.
The Multi-Agent Programming Contest 2018
Agents Teaming Up in an Urban Environment
2020
EN
This book constitutes the 13th edition of the annual Multi-Agent Programming Contest, MAPC 2018, and presents its participants.The 2018 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their per...
The Multi-Agent Programming Contest 2022
Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not
2023
EN
This book constitutes the 16th edition of the annual Multi-Agent Programming Contest, MAPC 2022.It gives an overview of the competition, describes the current scenario. The first paper describes the contest in general and this edition in particular, focusing on the organizers’ observations. The following papers are written by the participants of the contest, describing their team of agents and its performance in more detail.
The Multi-Agent Programming Contest 2019
Agents Assemble – Block by Block to Victory
2020
EN
This book constitutes the 14th edition of the annual Multi-Agent Programming Contest, MAPC 2019, and presents its participants.The 2019 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their per...
Multi-Agent Search under Uncertainty
Reactive and Deep Q-Learning Methods
2026
EN
Plan optimal multi-robot search paths despite imperfect sensor informationWhen multiple robots must locate targets in presence of false positive and false negative detection errors, path planning becomes extraordinarily complex. Multi-Agent Search under Uncertainty addresses this challenge directly. Written by researchers with combined expertise spanning defense systems, applied mathematics, and machine learning, this book delivers both theoretical foundat...
Agent Sprawl
Taming the Permissions, Integrations, and Maintenance of Multi-Agent Systems
2026
EN
Every organization that adopts AI agents eventually hits the same wall. It starts quietly with a single team deploying one agent, but before anyone realizes what has happened, the organization is running dozens of agents across multiple platforms, each with its own login, permissions, integrations, and maintenance schedule. Nobody planned for this. Nobody asked for this. But here it is, and it is growing faster than anyone can track. This phenomenon has a name: agent sprawl.Agent s...
Build Multi-Agent AI Workflows
AI Teams That Work Together No Coding Required
2026
EN
Artificial intelligence is moving beyond single chatbots into multi-agent AI workflows where specialized AI agents collaborate to solve complex problems, automate business operations, accelerate software development, conduct research, and manage entire projects with minimal human intervention. Learning how to design and orchestrate these intelligent workflows is quickly becoming one of the most valuable AI skills for entrepreneurs, developers, consultants, and business lea...
Microsoft Agent Framework
Building Enterprise-Grade AI Agents and Multi-Agent Workflows on .NET and Python
2026
EN
Accessible
"Microsoft Agent Framework: Building Enterprise-Grade AI Agents and Multi-Agent Workflows on .NET and Python"Enterprise AI agents are moving from impressive prototypes to systems that must be secure, observable, durable, and governable. This book is for experienced .NET and Python developers, solution architects, platform engineers, and AI practitioners who need to build production-ready agent applications with Microsoft Agent Framework rather than isolated demos or fragile prompt ...
Building Multi-Agent Systems With Codex
Subagents, Task Delegation, Agent Handoffs, and the Architecture Patterns That Turn One Agent Into a Full AI Engineering Team
2026
EN
The future of artificial intelligence is not a single model working alone. It is intelligent teams of AI agents collaborating to solve complex problems.Building Multi-Agent Systems with Codex is a practical guide for developers, AI engineers, software architects, and technology enthusiasts who want to design, build, and deploy powerful multi-agent applications using OpenAI Codex. Learn how autonomous AI agents can communicate, coordinate tasks, share memory, and work together to au...
Building Complex Multi-Agent Systems Using Pattern Prompting
A guide to building robust and secure GenAI applications using software engineering best practices
2026
EN
Learn how to build GenAI applications using proven patterns and abstractions to work confidently across tools and frameworks Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesLearn core abstractions and enterprise patterns behind modern GenAI systemsBuild secure, scalable agentic architectures using familiar engineering toolsGenerate multi-agent workflows and RabbitMQ-based GenAI configurations...
Agentic AI for Entrepreneurs
Build Multi-Agent Workflows Without Code
2026
EN
Accessible
Entrepreneurs are entering a new era where artificial intelligence does more than answer questions or generate content. Modern agentic AI can plan projects, automate business operations, manage workflows, analyze information, make decisions within defined boundaries, and complete complex tasks with minimal human intervention. Businesses that adopt AI agents today will gain a significant competitive advantage in productivity, innovation, and scalability.Agen...
Multi-Agent Systems
22nd European Conference, EUMAS 2025, Bucharest, Romania, September 3–5, 2025, Proceedings, Part I
2026
EN
Accessible
This two-volume set LNCS16258-16259 constitutes the refereed proceedings of the 22nd European Conference on Multi-Agent Systems, EUMAS 2025, held in Bucharest, Romania, during September 3–5, 2025.The 33 full papers, 9 short papers, 3 demonstrators and 1 Agent Toolkits community report included in this book were carefully reviewed and selected from 60 submissions. They were organized into the following topical sections:Part I: Engineering Multi-Agent Systems; Agent-Based Mod...











