Prashant Upadhyay – författare

This book discusses key concepts such as multi-agent systems, agent communication, and distributed problem-solving. The readers will gain an understanding of how these agents interact within a network, sharing information and resources to make decentralized decisions. The text will also cover the theoretical underpinnings of artificial distributed intelligence, including the principles of distributed computing and the algorithms that facilitate cooperation among agents. This book:Explains how artificial distributed intelligence leverages the coordination and collaboration of multiple autonomous agents to solve complex problems that are beyond the capabilities of a single agent.Key concepts such as multi-agent systems, agent communication, and distributed problem-solving are covered in depth.Provides a thorough exploration of the foundational principles and key concepts of artificial distributed intelligence.Showcases potential risks associated with artificial distributed intelligence, including biases in artificial intelligence algorithms, the implications of autonomous decision-making, and the need for transparency and accountability in artificial intelligence systems.Illustrates advanced topics such as the integration of blockchain and quantum computing with artificial distributed intelligence.This text is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and distributed computing.

Artificial Intelligence (AI) and Large Language Models (LLM) are not a thing of the future anymore, but the engines of industrial transformation of the present day. Applications of AI and LLM in Production and Services Industries bridges the gap between leading edge research and practice. This anthology includes the leading scholars of the world to discuss the change in manufacturing floors and even in the customer service centers through the use of AI-driven automation, predictive analytics, and LLM-powered interactions. This book presents a practical roadmap of sustainable growth of businesses by covering smart manufacturing and predictive maintenance, intelligent chatbots and operational efficiency. It does not only deal with technical integration but also with the ethical aspect, cross industry case studies, and future trends. As an industry professional, researcher or technology leader, this book will provide you with the competencies and knowledge to leverage AI and LLMs and gain competitive advantage.Key Features (USPs):Comprehensive Coverage - includes both production (manufacturing, automation) and service (customer experience, healthcare, retail) sectors in a single framework.Real-World Case Studies - Contains practical applications and examples in the world industry and academics.Actionable Insights - Concentrates on how to operate efficiently, predictively, make decisions and be ethical in implementation.Future-Ready Perspective - Discusses the new trends, the development of LLM, and the definite way to adopt AI.Multidisciplinary Expert Contributions - Written by the top researchers and practitioners in the fields of computer science, engineering and business.