This book gives detailed descriptions of the development of two large scale multiagent systems: Agent.Hospital and Agent.Enterprise. These two systems have been developed in close cooperation with more than 20 enterprises and hospitals. They demonstrate clearly that multiagent technology has a great potential for innovative information systems, if a high degree of flexibility of the overall systems is required, e.g. because human actors and technical systems exhibit a great degree of local autonomy, or if the work environment is highly dynamic.

This book constitutes revised, selected, and invited papers from the 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016, held in Singapore, in May 2016, in conjunction with AAMAS. The 10 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The book also contains 2 invited papers; extended versions of AAMAS 2016 demonstration abstracts. EMAS deals with MAS software engineering processes, methodologies and techniques; Programming languages for MAS; Formal methods and declarative technologies for the specification, validation and verification of MAS; and development tools.

"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multi-agent system addressing both current status and challenging new ideas"--Provided by publisher.

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to the COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.

The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019, held in Montreal, QC, Canada, in May 2019. The 13 revised full papers presented in this book were carefully selected and reviewed from 20 submissions. The papers are grouped in the following topical sections: Multi-Agent Interaction and Organization; Simulation; Social Awareness and Explainability; Learning and Reconfiguration; and Implementation Techniques and Tools.

The papers selected for this volume present advances in software engineering approaches to develop dependable high-quality multi-agent systems. These papers describe experiences and techniques associated with large multi-agent systems in a wide variety of problem domains. They cover fault tolerance, exception handling and diagnosis, security and trust, verification and validation, as well as early development phases and software reuse.