Stefan Bosse Knihy

Focusing on the integration of mobile multi-agent systems, this book addresses the challenges of unified and distributed computing across diverse environments, from Internet Clouds to Sensor Networks. It proposes a cohesive agent behavior model and a programming framework to bridge the gap between low-resource devices and powerful servers. Key features include robustness, scalability, and adaptivity. Additionally, it offers an accessible introduction to creating JavaScript agents with the JavaScript Agent Machine (JAM), enabling beginners to quickly develop effective multi-agent systems.

Combining different perspectives from materials science, engineering, and computer science, this reference provides a unified view of the various aspects necessary for the successful realization of intelligent systems. The editors and authors are from academia and research institutions with close ties to industry, and are thus able to offer first-hand information here. They adopt a unique, three-tiered approach such that readers can gain basic, intermediate, and advanced topical knowledge. The technology section of the book is divided into chapters covering the basics of sensor integration in materials, the challenges associated with this approach, data processing, evaluation, and validation, as well as methods for achieving an autonomous energy supply. The applications part then goes on to showcase typical scenarios where material-integrated intelligent systems are already in use, such as for structural health monitoring and smart textiles.

This book addresses the challenge of unified and distributed computing in strong heterogeneous environments ranging from Sensor Networks to Internet Clouds by using Mobile Multi-Agent Systems. A unified agent behaviour model, agent processing platform architecture, and synthesis framework should close the operational gap between low-resource data processing units, for example, single microchips embedded in materials, mobile devices, and generic computers including servers. robustness, scalability, self-organization, reconfiguration and adaptivity including learning are major cornerstones. The outstanding book covers various topics to reach the ambitious goal of an unified smart and distributed computing model contributing to the design of future intelligent sensing systems: Multi-Agent Systems, Agent Processing Platforms, System-on-Chip Designs, Architectural and Algorithmic Scaling, High-level Synthesis, Agent Programming Models and Languages, Self-organizing Systems, Numerical and AI Algorithms, Distributed Machine Learning, Energy Management, Distributed Sensor Networks, and multi-domain simulation techniques. None of these topics may be considered stand-alone. Only a balanced composition of all topics can meet the requirements in future computing networks, for example, the Internet-of-Things with billions of heterogeneous devices.