Monroe keiko (13 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - As artificial intelligence transitions from isolated models to interconnected, decision-making networks, the discipline of multi-agent orchestration has become a critical competency for senior engineers and AI architects. The demand for systems where autonomous agents communicate, negotiate, delegate, and collaborate at scale is no longer theoretical - it is an operational reality across enterprise AI deployments, autonomous pipelines, and large-scale LLM-powered infrastructures.This book addresses that reality with technical rigor and architectural depth. Written for experienced AI practitioners, software architects, and research engineers, it examines the structural principles, coordination protocols, and deployment patterns that define production-grade multi-agent systems. Readers will engage with the formal mechanisms behind agent role specialization, inter-agent messaging, consensus formation, fault tolerance, and decentralized task execution - without abstraction or oversimplification.The material draws on established frameworks, emerging industry standards, and applied architectural analysis to present a cohesive body of knowledge. Topics span agent communication languages, orchestration topologies, LLM-native agent design, tool-use coordination, memory and state synchronization across distributed agents, ethical governance of autonomous decision chains, and observability in non-deterministic environments.This is not an introductory treatment. Readers are expected to bring working knowledge of distributed systems, machine learning pipelines, and software architecture. The content is structured to extend that foundation into the specialized domain of agentic AI design - where coordination complexity, emergent behavior, and systemic reliability intersect.If you are an engineer or architect responsible for designing, evaluating, or scaling intelligent agent systems, this book provides the technical frameworks and analytical depth your work demands. Add it to your professional library and engage with the structural discipline that defines the next generation of AI infrastructure.…

Taschenbuch. Zustand: Neu. Neuware - Artificial intelligence is no longer peripheral to education it is increasingly embedded in how institutions plan instruction, assess learners, and personalize academic pathways. Yet most available literature either oversimplifies the technology or targets developers rather than the professionals who deploy it daily. AI for Educators in Practice addresses that gap directly.Written for experienced classroom practitioners, curriculum coordinators, instructional designers, and institutional decision-makers, this book provides a rigorous, field-grounded examination of how intelligent systems function within real educational environments. It does not assume a technical background in computer science, but it does assume professional familiarity with pedagogical frameworks, institutional structures, and the complex realities of modern teaching.Across ten structured chapters, readers will examine the foundational architecture of AI systems relevant to education, explore how adaptive learning platforms personalize content delivery at scale, and evaluate the practical and ethical dimensions of deploying AI teaching assistants in live instructional settings. The book addresses student performance analytics with an emphasis on data interpretation, equity considerations, and institutional accountability. Generative AI applications including AI-powered lesson planning, automated feedback systems, and content generation tools are analyzed with critical depth, not promotional enthusiasm.Each chapter integrates current research, documented case implementations from K-12 and higher education contexts, and frameworks educators can apply to their own institutional decisions. The book also addresses policy alignment, digital equity, faculty adoption challenges, and the evolving regulatory landscape surrounding educational data.This is not an introductory survey. It is a practitioner-level reference for professionals who are already navigating EdTech ecosystems and need analytical frameworks, not simplified tutorials.If you are an educator, administrator, or instructional strategist ready to engage with AI not as a novelty but as a professional instrument this book belongs in your institutional library. Secure your copy today and equip your practice with the depth this technological shift demands.…