دانلود کتاب هوش مصنوعی عامل‌محور- بهره‌گیری از عامل‌های هوش مصنوعی برای بازآفرینی کسب‌وکار، کار و زندگی

There’s a profound transformation happening in how we work, live, and create value. While many see this as a purely technological revolution, we see something far more meaningful: an opportunity to redefine the relationship between humans and machines in ways that amplify what makes us uniquely human. We are a diverse team of twenty-seven professionals spanning business, academia, programming, and research, united by a shared vision of how technology can serve humanity. Our backgrounds range from implementing enterprise-scale automation systems to pioneering research in artificial intelligence, consulting with Fortune 500 companies, and studying the societal implications of technological change. What brings us together isn’t just our expertise—it’s our shared belief that technology should enhance human potential rather than replace it. Our journey to this book began years ago, though we didn’t know it at the time. Many of us were among the first to implement intelligent automation systems in major organizations worldwide. We pioneered approaches to combine artificial intelligence with robotic process automation (RPA), creating systems that could handle increasingly complex end-to-end business processes. This work led some of us to co-author Intelligent Automation in 2020,1 which became a global bestseller and helped organizations rethink their approach to digital transformation. We didn’t realize then that we were laying the groundwork for something even more transformative. The intelligent automation systems we built over the past fifteen years—which combine process automation with artificial intelligence to handle structured workflows—have become the foundation for today’s agentic systems. The progression makes perfect sense: before a system can act autonomously (as agents do), it needs to master the basics of executing processes, handling data, and making decisions within defined parameters. These are exactly the capabilities we’ve spent years refining in intelligent automation systems. This foundation gave us a unique advantage when the latest breakthroughs in generative AI opened the door to modern agentic systems. We had already gained experience with many of the fundamental challenges: how to reliably automate complex processes, how to handle exceptions gracefully, how to integrate with existing systems, and most importantly, how to implement these technologies in ways that enhance rather than replace human capabilities. When companies began exploring agentic systems a few years ago, many naturally evolved from their existing intelligent automation platforms, building upon these proven foundations to create more sophisticated, autonomous capabilities.