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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;


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 II

Advances in Swarm Intelligence

Intelligent Control and Learning Systems

This book provides a new perspective on omics data modelling and analysis in bioinformatics area. Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.

Theory and Applications

Kernel Methods for Omics Data Mining

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 patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 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, a 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.
The cover image is AI-generated.

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

Abhishek Kumar

Priya Batta

Pramod Singh Rathore

T. Ananth Kumar

J. Reyes Juárez Ramírez

Blockchain Innovations for a Sustainable Circular Economy

Springer Nature Proceedings excluding Computer Science

Andres Iglesias

Jungpil Shin

Bharat Patel

Amit Joshi

Proceedings of ISBM 2024, Volume 5

Information Systems for Intelligent Systems

Bibhas Chandra Giri

Subrata Jana

Anirban Sarkar

Biswadip Basu Mallik

Rahul Kar

Fuzzy Logic in Real Life Scenarios

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

Nityesh Bhatt

Proceedings of ISBM 2025, Volume 3

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

Progress in IS

This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances.
The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits.&nbsp;
Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.

Theories and Practices

Agentic AI

Computer Science and Engineering (German Language)

Ognjen Radisic-Aberger

Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning

AI-Driven Mechanism Design

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