Viviana Mascardi – författare

This book constitutes the revised and selected papers from the 6th International Workshop on Engineering Multi-Agent Systems held in Stockholm, Sweden, in July 2018, in conjunction with AAMAS 2018. The 17 full papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains a state-of-the-art paper that reflects on the role and potential of MAS engineering in a number of key facets. The papers are clustered around the following themes: programming agents and MAS, agent-oriented software engineering, formal analysis techniques, rational agents, modeling and simulation, frameworks and application domains.

This book constitutes the revised and selected papers from the 6th International Workshop on Engineering Multi-Agent Systems held in Stockholm, Sweden, in July 2018, in conjunction with AAMAS 2018. The 17 full papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains a state-of-the-art paper that reflects on the role and potential of MAS engineering in a number of key facets. The papers are clustered around the following themes: programming agents and MAS, agent-oriented software engineering, formal analysis techniques, rational agents, modeling and simulation, frameworks and application domains.

​This book constitutes revised selected papers from the refereed proceedings of the 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, which was held virtually in December 2021.The 36 full papers included in this book were carefully reviewed and selected from 58 submissions; the volume also contains 12 extended and revised workshop contributions. The papers were organized in topical sections as follows: Planning and strategies; constraints, argumentation, and logic programming; knowledge representation, reasoning, and learning; natural language processing; AI for content and social media analysis; signal processing: images, videos and speech; machine learning for argumentation, explanation, and exploration; machine learning and applications; and AI applications.

​This book constitutes revised selected papers from the refereed proceedings of the 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, which was held virtually in December 2021.

The 36 full papers included in this book were carefully reviewed and selected from 58 submissions; the volume also contains 12 extended and revised workshop contributions. The papers were organized in topical sections as follows: Planning and strategies; constraints, argumentation, and logic programming; knowledge representation, reasoning, and learning; natural language processing; AI for content and social media analysis; signal processing: images, videos and speech; machine learning for argumentation, explanation, and exploration; machine learning and applications; and AI applications.

This book provides a snapshot of the current state of the art related to the development of tools, frameworks and techniques for designing and implementing multi-agent systems. The single contributions are diverse in nature, with some providing overviews of toolkits, while others focus on specific features or application domains. To reflect this diversity, the book has been organized into two parts. The first part covers Languages, Frameworks and Platforms and contains six chapters that present overviews of some of the new toolkits that have emerged, and reflections on the evolution of some of the existing toolkits. The second part contains four chapters and covers Features, Mechanisms and Applications that have been developed for and with various agent toolkits. These chapters provide a more focused description of a specific mechanism or feature of a toolkit, or they describe toolkits that have been developed for a specific application domain. All the chapters include the rationale for the need of the toolkit or mechanism described, how it is positioned in the scientific panorama particularly in relation to the most recent advancements in artificial intelligence, a technical description, an analysis of limitations, and ethical and technical challenges.Representing the results of the most recent research on engineering agents and multi-agent systems, the book mainly targets researchers. In addition, it will also be useful for advanced professionals in industry, as the book may also serve as a roadmap to select the best tool and approach for a given problem.

This book provides a snapshot of the current state of the art related to the development of tools, frameworks and techniques for designing and implementing multi-agent systems. The single contributions are diverse in nature, with some providing overviews of toolkits, while others focus on specific features or application domains. To reflect this diversity, the book has been organized into two parts. The first part covers Languages, Frameworks and Platforms and contains six chapters that present overviews of some of the new toolkits that have emerged, and reflections on the evolution of some of the existing toolkits. The second part contains four chapters and covers Features, Mechanisms and Applications that have been developed for and with various agent toolkits. These chapters provide a more focused description of a specific mechanism or feature of a toolkit, or they describe toolkits that have been developed for a specific application domain. All the chapters include the rationale for the need of the toolkit or mechanism described, how it is positioned in the scientific panorama particularly in relation to the most recent advancements in artificial intelligence, a technical description, an analysis of limitations, and ethical and technical challenges.Representing the results of the most recent research on engineering agents and multi-agent systems, the book mainly targets researchers. In addition, it will also be useful for advanced professionals in industry, as the book may also serve as a roadmap to select the best tool and approach for a given problem.

Multi-agent systems are nowadays at the core of the emerging Agentic AI field, providing the conceptual and computational foundations for building intelligent systems composed of interacting autonomous entities. These systems consist of multiple agents that engage with one another and with their environment to achieve individual and collective goals. The contributions in this volume place multiagent abstractions at the heart of intelligent systems research, raising deep and novel research questions. Collectively, they offer the reader a conceptual path tracing the evolution of the domain over recent decades, while outlining future perspectives. Specific approaches discussed include trust, self-organization, multiagent-based simulation, formal models for multiagent systems, MAS protocols, and applications in software engineering and distributed systems.Inspired in part by the success of the workshop From Objects to Agents (WOA), the contributions in this open access volume will be valuable for researchers in agent systems, AI, software engineering, and networking.

This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Declarative Agent Languages and Technologies, DALT 2012, held in conjunction with the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) at Valencia, Spain, in June 2012. The volume contains 13 revised selected presented at DALT 2012.The papers cover the following topics: declarative languages and technologies, computational logics, declarative approaches to engineering agent-based systems, models of business interactions among agents, and models of trust, commitments, and reputation for agents.