Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Intelligent Technologies and Robotics (R0)

Weiran Shen

Pingzhong Tang

Song Zuo

AI-Driven Mechanism Design

&lt;p&gt;Chapter 1. Introduction.- Chapter 2. Multi-Dimensional Mechanism Design via AI-Driven Approaches.- Chapter 3. Dynamic Mechanism Design via AI-Driven Approaches.- Chapter 4. Multi-Objective Mechanism Design via AI-Driven Approaches.- Chapter 5. Summary and Future Directions.&lt;/p&gt;


Springer Nature Proceedings excluding Computer Science

Andres Iglesias

Jungpil Shin

Nityesh Bhatt

Amit Joshi

Proceedings of ISBM 2025, Volume 4

Information Systems for Intelligent Systems

Lecture Notes in Computer Science

This two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025.

The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning.

This two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025.The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning.

16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11–15, 2025, Proceedings, Part I

Advances in Swarm Intelligence

Haufe Fachbuch

Uwe Effenberger

Effizienzsteigerung und Rechtssicherheit im Immobilienmanagement

Künstliche Intelligenz in der Immobilienverwaltung

Proceedings of ISBM 2025, Volume 9

From the world's leading expert on negotiation, an essential guide to negotiating in any situation--whether over Zoom, across political and cultural divides, or during a supply chain crisis The world has changed dramatically in just the past few years--and so has the game of negotiation. COVID-19, Zoom, political polarization, the online economy, increasing economic globalization, and greater workplace diversity--all have transformed the who, what, where, and how of negotiation. Today, traditional negotiating tactics, while still effective, need to be tailored to vastly different situations and circumstances. In Negotiation: The Game Has Changed, legendary Harvard Business School professor Max Bazerman, a pioneer in the field of negotiation, shows you how to negotiate successfully today by adapting proven negotiation principles and strategies to the challenging new contexts you face--from negotiating across cultural and political differences to trying to reach an agreement over Zoom or during a supply chain crisis. Negotiation offers a groundbreaking new way of thinking about the importance of the unique context of any negotiation--and when and how it should influence how you negotiate. At the same time, the book provides a concise and expert overview of essential negotiating techniques for anyone new to the subject or who wants a refresher. The result is a must-read--a powerful toolkit for successfully negotiating in a world where the game of negotiation has changed.

The Game Has Changed

Negotiation

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously.
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges.
To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment.
Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. By the end of this journey, you will possess both the theoretical understanding and the practical skills to implement these 21 essential patterns, enabling you to build more intelligent, capable, and autonomous systems on your chosen development canvas.

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously.Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems
 is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges.
 To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment.Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. By the end of this journey, you will possess both the theoretical understanding and the practical skills to implement these 21 essential patterns, enabling you to build more intelligent, capable, and autonomous systems on your chosen development canvas.

A Hands-On Guide to Building Intelligent Systems

Agentic Design Patterns

16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11–15, 2025, Proceedings, Part II

Business and Economics (German Language)

Mahmut Arica

Klaus Friedrich

Wolf-Dieter Hiemeyer

Marcus Stumpf

Einsatzmöglichkeiten von KI in Marketing und Vertrieb

Marketing & Sales Innovation 2026

International Series in Operations Research & Management Science

This book serves as a comprehensive resource, offering valuable insights into the application of Digital Twins in supply chain management. It covers foundational concepts of supply chain optimization and delves into the technological frameworks that enable the integration of Digital Twins. Contributions from leading academics, industry experts, and researchers provide a multi-dimensional perspective on this transformative approach. Real-world case studies are included to showcase the practical benefits and challenges of implementing Digital Twins in various segments of modern supply chains, from manufacturing and distribution to inventory management. A set of practical guidelines and best practices for implementing Digital Twins in supply chain management round out the content. 
The book offers a roadmap for organizations looking to adopt this technology for enhanced operational efficiency. To deepen the reader’s understanding, it also features specialized sections on data security and ethical considerations when implementing Digital Twins in supply chains. By covering these aspects, it offers the "go-to" resource for a wide range of professionals including supply chain managers, data scientists, and IT specialists, as well as academics, researchers and students in related fields, who are looking to understand or implement Digital Twins in the context of supply chain optimization.

This book serves as a comprehensive resource, offering valuable insights into the application of Digital Twins in supply chain management. It covers foundational concepts of supply chain optimization and delves into the technological frameworks that enable the integration of Digital Twins. Contributions from leading academics, industry experts, and researchers provide a multi-dimensional perspective on this transformative approach. Real-world case studies are included to showcase the practical benefits and challenges of implementing Digital Twins in various segments of modern supply chains, from manufacturing and distribution to inventory management. A set of practical guidelines and best practices for implementing Digital Twins in supply chain management round out the content.&nbsp;The book offers a roadmap for organizations looking to adopt this technology for enhanced operational efficiency. To deepen the reader’s understanding, it also features specialized sections on data security and ethical considerations when implementing Digital Twins in supply chains. By covering these aspects, it offers the “go-to” resource for a wide range of professionals including supply chain managers, data scientists, and IT specialists, as well as academics, researchers and students in related fields, who are looking to understand or implement Digital Twins in the context of supply chain optimization.

AI-Driven Mechanism Design

Weitere Titel zum Thema