Books

World Models for AI Agents is a technical guide to building agents that can do more than react to prompts. Instead of treating memory as a loose collection of context fragments, this book presents world models as structured, evolving representations of state, time, entities, actions, and consequences.The book connects modern agent design with memory architectures, knowledge graphs, temporal reasoning, and planning. It explains why retrieval alone is not enough for long-horizon tasks, how graph-based memory can serve as an explicit world model, and why persistent agents need more than short-term context to remain coherent over time.Topics include episodic and semantic memory, temporal knowledge graphs, belief states, action-conditioned reasoning, planning under partial observability, and the path from memory continuity to agent identity.Written for AI engineers, researchers, and system architects, this book offers a practical conceptual framework for designing agents with persistent memory, better reasoning, and more reliable long-term behavior.

We'll build an agent step-by-step, starting with a small loop that accepts input and produces structured output. As we go, we'll add tools, validation, model switching, runtime adapters, and packaging techniques that'll let the agent move from a simple script to a reusable application.

One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.

If you want to crack Playwright coding interviews confidently, this book gives you exactly what you need — real coding questions, practical examples, and real-world automation scenarios.

Unlike theory-heavy books, this guide provides spoken interview-style answers used by real QA engineers in job interviews.

Learn Python step by step with a practical workbook designed for absolute beginners. This book combines clear explanations, visual flowcharts, exercises, and hands-on coding projects to help you understand programming from the ground up.

Komplexe kognitive Systeme entwickeln sich nicht in Richtung Komplexität als natürlichem Attraktor. Vielmehr entsteht Komplexität als seltene Folge von Umgebungen, die durch hohe Variabilität gekennzeichnet sind, in denen starre und weiche Selektionsregime über mehrere Dimensionen der kognitiven Architektur hinweg miteinander interagieren. Dieses Zitat fasst eine der zentralen Thesen des im Werk Cartography of Mind dargestellten theoretischen Rahmens zusammen. Die Arbeit schlägt vor, dass Komplexität in kognitiven und sozialen Systemen nicht als eine unvermeidliche Richtung der Evolution verstanden werden sollte. Stattdessen entstehen komplexe Architekturen nur unter spezifischen Umweltbedingungen, die einerseits ausreichende Variabilität aufrechterhalten und andererseits selektive Beschränkungen auferlegen.Der theoretische Rahmen führt das Konzept multidimensionaler Selektionsregime ein, in denen starre und weiche Formen der Selektion auf verschiedenen Ebenen eines Systems miteinander interagieren. Die Stabilität komplexer kognitiver Strukturen hängt vom Gleichgewicht zwischen Variabilität, Reproduzierbarkeit und Selektionsdruck ab. Offenlegung der KI-Unterstützung Diese Arbeit wurde mit Unterstützung von KI-Sprachmodellen erstellt. Der Autor trug die Kernkonzepte, die Struktur und die kritische Überarbeitung bei.

A step-by-step Playwright + TypeScript guide for manual testers or who wants to switch to becoming automation engineers.

A detective who calculates life in cold mathematical variables. A lethal ex-commando who strikes in absolute silence. A hyperactive digital god who rules the dark web. Together, they are the only thing standing between a gang of highly educated, radicalized youths and the total collapse of the nation's digital infrastructure. The countdown has begun.

If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable.What happens when biology and technology fuse? The answer is here: Neural Engineering.This groundbreaking textbook takes you inside the science and systems that are rewriting what it means to repair, enhance, and extend human capability. It doesn’t stop at theory—it drives straight into the engineering that powers the future.

🧠 Master the Algorithms Powering Tomorrow’s RobotsRobotics Algorithms is your comprehensive guide to the core algorithms that enable modern robots to move, perceive, and think—designed as a glossary-style reference for engineers, researchers, and advanced students who want depth without the fluff.Whether you're building autonomous drones, surgical bots, industrial manipulators, or multi-agent systems—this book delivers the tools you need to optimize performance at every level of robotic intelligence.

Cognitive architecture is a blueprint for building intelligent systems that replicate how humans think—integrating memory, perception, learning, reasoning, and decision-making into a unified framework. This book is a comprehensive guide to designing such architectures from the ground up, combining insights from artificial intelligence, neuroscience, psychology, and systems engineering.

The blueprint for tomorrow’s automated world—written for those building it today.Factories are evolving at lightning speed. Robots think. Machines talk. Data flows faster than steel on a conveyor. The next industrial revolution isn’t coming—it’s here. The question is: will you design it, or be left watching from the sidelines?

The age of passive AI is over. The future belongs to machines that understand what they see—that can fuse data, reason about uncertainty, and make accountable decisions in the real world.

Robotics is at a crossroads. Right now, every lab, every manufacturer, and every startup is reinventing the wheel—designing their own connectors, rewriting their own drivers, rebuilding their own platforms. It’s expensive. It’s slow. And it’s holding back the entire field.This book tears down that barrier.