Creating Autonomous AI: Building Intelligent Agents That Can Reason, Plan, and Adapt
Creating Autonomous AI: Building Intelligent Agents That Can Reason, Plan, and Adapt by RICHES CECILIA
English | May 19, 2025 | ISBN: N/A | ASIN: B0F99MKMW2 | 605 pages | EPUB | 0.35 Mb
English | May 19, 2025 | ISBN: N/A | ASIN: B0F99MKMW2 | 605 pages | EPUB | 0.35 Mb
What if machines could truly think, adapt, and grow—on their own?
Welcome to the future of Artificial Intelligence.
Creating Autonomous AI isn’t just another book on machine learning. It’s a cutting-edge roadmap to designing and building intelligent agents—systems that don’t just automate tasks, but reason, plan, learn, and adapt in the real world. Whether you're an AI researcher, software engineer, roboticist, or simply fascinated by the science of intelligent machines, this guide offers the essential foundation and practical insight needed to build autonomy into code.
In an age where automation is no longer enough, this book teaches you how to construct AI that makes decisions under uncertainty, revises goals on the fly, and functions independently in dynamic environments—from self-driving cars and delivery drones to medical assistants and financial trading bots.
Inside This Book, You’ll Discover:
- What Autonomy Truly Means in AI: Move beyond automation and explore agents that self-govern, evolve, and make complex decisions in real-time.
- The Anatomy of Intelligent Agents: Master the Perception-Decision-Action loop, agent architectures, and hybrid models combining reactive and deliberative behaviors.
- The Four Pillars of Autonomy: Learn how Reasoning, Planning, Learning, and Adaptation come together to enable real-world autonomy.
- Advanced Reasoning & Multi-Agent Systems: Delve into symbolic logic, probabilistic models, game theory, and cooperative decision-making.
- Reinforcement Learning and Lifelong Learning Techniques: Implement agents that learn from scratch, adapt over time, and remember their experiences.
- Building Complete Systems: Architect end-to-end agents for indoor navigation, open-world adaptation, and complex mission execution.
- Ethics, Safety, and the Road Ahead: Address the crucial challenges of AI alignment, transparency, and responsible autonomy in high-stakes domains.
- Dozens of diagrams and planning flowcharts
- Real-world case studies across healthcare, robotics, finance, defense, and more
- Tools and frameworks like ROS, OpenAI Gym, Unity ML-Agents, and JADE
- Code architecture patterns and agent design templates