Showing results for "Multi-Agent Systems - Control Spectrum English"

Methodological Guidelines for Modeling and Developing MAS-Based SimulationsThe intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from s...

This book constitutes the refereed proceedings of the 21st European Conference on Multi-Agent Systems, EUMAS 2024, which took place in Dublin, Ireland, on August 26, 2024.The 24 full papers and 1 short paper included in this book were carefully reviewed and selected from 36 submissions. They were organized in topical sections as follows: Multi-Agent Based Simulation; Multi-Agent Learning; Knowledge Representation, Reasoning and Planning; Human-Agent Interaction; Coordination, Organ...

This book constitutes the revised post-conference proceedings of the 18th European Conference on Multi-Agent Systems, EUMAS 2021. The conference was held online in June, 2021. 16 full papers are presented in this volume, each of which carefully reviewed and selected from a total of 51 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.

This book constitutes the revised post-conference proceedings of the 16th European Conference on Multi-Agent Systems, EUMAS 2018, held at Bergen, Norway, in December 2018.The 18 full papers presented in this volume were carefully reviewed and selected from a total of 34 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode control (SMC) algorithms are proposed to guarantee strong string stability based on modified constant time headway (MCTH) policy. The MCTH policy is used to remove the unrealistic assumption in the most existing literat...

This audiobook is narrated by an AI Voice. Turn One Developer Into a 16-Person AI Engineering TeamIn February 2026, sixteen autonomous AI agents built a complete C compiler in just 14 days. They wrote 100,000 lines of production code, compiled the Linux kernel and PostgreSQL, and managed their own Git workflows without human intervention. This wasn't a research experiment. It was proof that AI agent swarms can deliver enterprise-grade software faster than traditional development te...

Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context Engine Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesDesign semantic blueprints to give AI structured, goal-driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine w...

Have you defined which data is gathered how? Are all staff in core Multi-agent system subjects Highly Qualified? How is Multi-agent system project cost planned, managed, monitored? How can you manage cost down? What process should you select for improvement?This one-of-a-kind Multi Agent System self-assessment will make you the credible Multi Agent System domain master by revealing just what you need to know to be fluent and ready for any Multi Agent System challenge.How do...

This book constitutes revised selected papers from the 13th International Workshop on Engineering Multi-Agent Systems, EMAS 2025, which took place in Detroit, USA, during May 19–20, 2025.The 13 full papers in this book were carefully reviewed and selected from a total of 16 submissions. The book also contains one paper on the community roadmap for EMAS. The contributions focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent ...

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practices Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand the GenAI and Agentic AI maturity model and enterprise adoption roadmapUse prompt engineering and...

This audiobook is narrated by an AI Voice. Most developers and business owners are stuck using AI like an advanced search engine. You ask one question, get one answer, then start over. This approach works for simple tasks, but completely breaks down when you need to automate complex workflows, coordinate multiple types of expertise, or build systems that actually scale.Multi-Agent AI Systems Explained shows you how to move beyond single interactions and start building coordinated t...

Master the architecture of multi-agent reinforcement learning to deploy scalable, cooperative AI systems today. Whether optimizing your commute for technical upskilling or focusing on deep analytical work, this guide bridges theoretical algorithms and real-world engineering. Transform isolated neural networks into dynamic, interacting ecosystems that solve massive computational bottlenecks.Moving from single-agent paradigms to competitive and mixed-motive environments introduces co...