Books

This book is not about clever algorithms. It is about system behavior under compounded complexity.Why interaction breaks roboticsThe moment a robot touches the world, coordinates with others, or shares control with a human, the problem changes.Control becomes regulation. Planning becomes negotiation. Learning becomes fragile.

This is not a beginner’s robotics book. And it is absolutely not for hobbyists.This book was written for engineers, researchers, and advanced practitioners who already understand one hard truth:Robotic systems don’t fail because of missing algorithms — they fail because assumptions go untested.

Robots don’t move by magic. Behind every manipulator, every mobile platform, every aerial or underwater vehicle is a precise mathematical engine: kinematics. If you don’t understand it, you’re guessing. And guessing doesn’t build robots that work.

Un relato más de fantasía que de ciencia-ficción. El planeta kelovia es invadido, y una expedición de refugiados viaja hasta la Tierra, solo para confrontar a Javier Márquez con la posibilidad de que los humanos se conviertan en la especie depredadora del futuro. Esto lo lleva a una transformación en todos los sentidos.

A literary novel about programmers, craft, and what we lose when understanding becomes optional.

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.