Engineering Multi-Agent Systems

Engineering a multi-agent system means more than building individual agents: it also means considering how they interact, coordinate, adapt, and operate as part of a larger system. This research proceedings volume brings together ten revised papers from EMAS 2020, offering a varied look at the methods and applications shaping that work.

Research across the multi-agent systems landscape

The contributions address agent-oriented software engineering, programming multi-agent systems, declarative agent technologies, artificial intelligence, and machine learning. Together, they connect foundational engineering questions with concrete settings, from software platforms and testing to robotics and connected vehicles.

From simulation to dependable systems

Topics include simulation for multi-agent system development, robustness and fault tolerance, agents used to test computer games, and control of industrial robot vacuum cleaners. Other papers consider agent-based microservices, trustworthy data acquisition, and vehicular IoT applications. The range makes it possible to compare different technical challenges and approaches within one volume.

What the proceedings contain

Rather than following a single textbook-style sequence, the book is organized as a set of research contributions, including work on the Multi-Agent Programming Contest and the Intention Progression Competition. Readers can approach the papers according to their area of interest while gaining a broader view of current engineering concerns in the field.

For researchers and advanced readers

This volume is suited to researchers, graduate students, and practitioners already interested in intelligent agents, artificial intelligence, and distributed software systems. It offers a research-focused snapshot of multi-agent systems engineering, with examples that range from development methods to applied systems.