Practical Introduction To Collaborative Ai Agents And Bots
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Practical Introduction To Collaborative Ai Agents And Bots
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Author : Pandey J
language : en
Publisher: Independently Published
Release Date : 2025-01-31
Practical Introduction To Collaborative Ai Agents And Bots written by Pandey J and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Technology & Engineering categories.
In today's rapidly evolving technological landscape, the potential of artificial intelligence (AI) to revolutionize how we approach and solve complex problems is undeniable. Across industries such as healthcare, finance, telecommunications, and beyond, AI agents and bots are driving innovation, transforming operations, and enhancing decision-making processes. But while these technologies are powerful, the real magic happens when they work together. Collaborative AI agents and bots, when harnessed effectively, can complement each other's strengths to tackle problems that would be nearly impossible for a single entity to solve alone. This book, Practical Introduction to Collaborative AI Agents and Bots for end-to-end Solutions to Complex Problems: A Step-by-Step Practical Handbook for Beginners using Python, is written for those who wish to explore and understand the collaborative nature of AI in problem-solving. Whether you are a beginner, data scientist, AI enthusiast, or a developer with a keen interest in AI systems, this book will serve as a practical guide to designing, developing, and implementing collaborative AI agents and bots that can work in harmony to address intricate challenges. The need for collaborative intelligence is growing exponentially. AI agents specialize in different domains, and bots are designed to automate specific tasks. By combining them in strategic ways, we can tackle problems that involve massive data sets, dynamic environments, or human-like decision-making, which would otherwise be too complex for traditional methods. Throughout this book, you will find a comprehensive, hands-on approach to understanding and building collaborative AI solutions using Python. Each chapter focuses on providing clear, step-by-step instructions to help you understand how to implement AI agents and bots that communicate, share knowledge, and work towards common goals. From simple automation tasks to solving real-world challenges, we will explore techniques and best practices that you can immediately apply in your own projects. The power of AI agents and bots lies not only in their individual capabilities but in their ability to collaborate intelligently, exchanging information and improving outcomes. By the end of this book, you will have the knowledge and skills to design and implement sophisticated, collaborative AI systems that can solve real-world problems with confidence. Whether you're a beginner starting your AI journey or an experienced practitioner looking to enhance your skill set, this book will empower you to leverage collaborative AI agents and bots as tools for solving the complex challenges of tomorrow. Welcome to the future of AI collaboration.
Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act
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Author : Tejas Patthi
language : en
Publisher: Tejas Patthi
Release Date : 2025-06-30
Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act written by Tejas Patthi and has been published by Tejas Patthi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Build real-world AI systems that do more than just respond. They think, plan, and act with purpose. Agentic AI is a comprehensive, hands-on guide to building autonomous AI agents using Python, large language models (LLMs), LangGraph, CrewAI, FAISS, and other modern tools. Whether you are an AI developer, a machine learning engineer, or a tech enthusiast, this book will help you move beyond simple chatbots and prompt-based models into the advanced world of intelligent, agent-based systems that function independently and handle real tasks. In this step-by-step guide, you’ll learn how to build LLM-powered autonomous agents capable of reasoning, tool use, memory recall, and multi-step task execution. From integrating with real-world APIs to deploying production-ready agent workflows, you'll gain the skills to create powerful and reliable agentic AI systems using today's top frameworks and best practices. 🔍 What You Will Learn: How to build autonomous AI agents that work independently without constant human input How to create agents with long-term memory using vector databases like FAISS and Chroma How to orchestrate multi-agent systems using frameworks like LangGraph and CrewAI How to integrate AI with external tools, APIs, and web services How to use Python to script smart agent behaviors and decision-making logic How to deploy agentic systems in cloud environments or containers with live monitoring How to implement agent safety, performance testing, and real-time feedback loops 💡 Why This Book Is Different: This is not just another theoretical AI book. Agentic AI is a project-based, code-driven manual that gives you everything you need to: Build tool-using AI assistants, copilots, and multi-agent task managers Use LangChain, LangGraph, CrewAI, and LLM toolchains effectively Combine LLMs with real-time data, plugins, memory, and feedback systems Design and deploy goal-driven AI agents with full autonomy and context awareness Stay ahead in the fast-evolving field of agent-based AI and LLM integration 🧠 Tools and Technologies Covered: Python 3.x LangGraph & LangChain CrewAI & OpenAgents ChromaDB & FAISS for memory OpenAI, Claude, Gemini, HuggingFace APIs FastAPI, Docker, REST APIs, and Webhooks Autonomous task chaining, multi-agent routing, and smart tool use 📦 Who Should Read This Book? AI Engineers ready to move beyond static models Python Developers exploring LLMs and autonomous systems Tech founders building smart assistants and AI copilots Data Scientists interested in real-world AI deployment Prompt engineers ready to level up into full-stack AI workflows
Prima 2017 Principles And Practice Of Multi Agent Systems
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Author : Bo An
language : en
Publisher: Springer
Release Date : 2017-10-23
Prima 2017 Principles And Practice Of Multi Agent Systems written by Bo An and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-23 with Computers categories.
This book constitutes the refereed proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017, held in Nice, France, in October/November 2017. The 24 revised full papers presented together with one abstract of a keynote talk and 11 short papers were carefully reviewed and selected from 88 submissions. The intention of the papers is to showcase research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
The Definitive Guide To Conversational Ai With Dialogflow And Google Cloud
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Author : Lee Boonstra
language : en
Publisher: Apress
Release Date : 2021-06-25
The Definitive Guide To Conversational Ai With Dialogflow And Google Cloud written by Lee Boonstra and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase. What You Will Learn Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what’s different in Dialogflow CX Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google’s conversational AI/cloud technology.
Cognitive Foundations Of Agentic Ai From Theory To Practice
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Cognitive Foundations Of Agentic Ai From Theory To Practice written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Cognitive Foundations of Agentic AI: From Theory to Practice explores the conceptual and technical underpinnings of AI systems that act with autonomy, proactivity, and social intelligence. Drawing from cognitive science, artificial intelligence, and systems theory, this book provides a structured view of how intelligent agents perceive, learn, reason, and interact in dynamic environments. Beginning with a detailed exploration of what defines Agentic AI, the book delves into the cognitive processes that support agency—perception, learning, reasoning, memory, and decision-making. It bridges classical symbolic models with modern deep learning and neuro-symbolic systems to illustrate how hybrid architectures can enable generalizable, goal-driven behavior. Emphasis is placed on modeling real-world complexity, social cognition, and human-like interaction through language, emotional awareness, and theory of mind. The text also critically examines challenges such as generalization, ethical alignment, uncertainty, and explainability. Through illustrative case studies in robotics, healthcare, digital assistants, and multi-agent systems, it highlights the real-world implications and limitations of agentic systems. The final chapters outline practical pathways to building cognitive agents, including architecture design, training environments, and evaluation methods. It encourages a collaborative AI-human future where agents not only support but enhance human decision-making, learning, and creativity. Ideal for AI practitioners, researchers, and graduate students, the book offers both a theoretical framework and practical insights into creating autonomous systems that think, learn, and act intelligently. It invites readers to rethink intelligence not as a fixed trait but as an emergent, contextual process deeply rooted in cognition.
Advances In Practical Applications Of Agents Multi Agent Systems And Trustworthiness The Paams Collection
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Author : Yves Demazeau
language : en
Publisher: Springer Nature
Release Date : 2020-07-01
Advances In Practical Applications Of Agents Multi Agent Systems And Trustworthiness The Paams Collection written by Yves Demazeau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Computers categories.
This book constitutes the proceedings of the 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020, held in L'Aquila, Italy, in October 2020. The 29 regular and 17 demo papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, educa-tion and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
Implementing Industry 4 0 In Smes
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Author : Dominik T. Matt
language : en
Publisher: Springer Nature
Release Date : 2021-05-08
Implementing Industry 4 0 In Smes written by Dominik T. Matt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-08 with Business & Economics categories.
This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book ‘Industry 4.0 for SMEs: Challenges, Opportunities and Requirements’, the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.
Innovations In Learning And Technology For The Workplace And Higher Education
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Author : David Guralnick
language : en
Publisher: Springer Nature
Release Date : 2021-11-12
Innovations In Learning And Technology For The Workplace And Higher Education written by David Guralnick and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-12 with Technology & Engineering categories.
This book covers the topics such as online learning methodologies, case studies, new technologies in learning (such as virtual reality, augmented reality, holograms, and artificial intelligence), adaptive learning, and project-based learning. New technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create. The Learning Ideas Conference 2021 was the 14th annual conference and the first under its new name (following on its predecessors, the International Conference on E-Learning in the Workplace and the International Conference on Interactive Collaborative and Blended Learning). The conference was held online from June 14-18, 2021, and included two special tracks: The ALICE (Adaptive Learning via Interactive, Collaborative and Emotional Approaches) Special Track and a track entitled Building a University of Tomorrow, from the Xi'an Jiaotong-Liverpool University (XJTLU) in China. The papers included in this book may be of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.
Cognitive Assistant Supported Human Robot Collaboration
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Author : Cecilio Angulo
language : en
Publisher: Elsevier
Release Date : 2024-05-13
Cognitive Assistant Supported Human Robot Collaboration written by Cecilio Angulo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with Computers categories.
Cognitive Assistant Supported Human-Robot Collaboration covers the design and development of cognitive assistants in the smart factory era, its application domains, challenges, and current state of the art in assistance systems with collaborative robotics and IoT technologies, standards, platforms, and solutions. This book also provides a sociotechnical view of collaborative work in human-robot teams, investigating specific methods and techniques to analyze assistance systems. This will provide readers with a comprehensive overview of how cognitive assistants function and work in human-robot teams. - Introduces fundamental concepts of cognitive assistants and human-robot collaboration - Investigates the optimization capabilities of human-cyber physical systems - Discusses planning and implementation of cognitive assistant projects - Explores concepts and design elements of human collaborative workspaces
Robot Intelligence Technology And Applications 9
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Author : Daehyung Park
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Robot Intelligence Technology And Applications 9 written by Daehyung Park and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Technology & Engineering categories.
This book serves as a valuable resource for researchers and practitioners in related fields, providing timely insights into recent progress in robotics and artificial intelligence. Today, AI's capabilities exceed human limitations. As AI generates texts, images, and videos, the boundaries between virtual reality and the physical world are becoming increasingly blurred. We are entering a new era in which AI agents can act on our behalf. With the continued development of AI agent systems, robot intelligence has made remarkable advancements and is being applied to the real world. The role of robots is becoming more crucial in the development of both the virtual and physical worlds. The Robot Intelligence Technology and Applications (RiTA) Conferences have significantly contributed to introducing advanced robot intelligence technologies and fostering professional networking. RiTA has a firm grounding in robot intelligence, extending to robot systems, and covering areas such as advanced machine learning, autonomous navigation, human-robot collaboration, explainable AI, sensor integration, robotic swarms, and ethical considerations. This is the 9th edition of the RiTA Conference Proceedings, which features the latest research results from both theoretical and experimental studies and advancements in artificial intelligence and robotics. It is based on a collection of papers presented at the 12th International Conference on Robot Intelligence Technology and Applications (RiTA), held at Ulsan National Institute of Science & Technology (UNIST), Ulsan, Korea. The conference, with the main theme "Generative Thinking, Generative Action," was held from December 4 to 7, 2024. For better readability, the 34 papers are grouped into three chapters: Chapter I: Perception and Learning; Chapter II: Planning and Control; and Chapter III: Interaction and Applications.