The Oracle Of Artificial Intelligence
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The Oracle of Artificial Intelligence
Author: Sreenivas Peddiraju
language: en
Publisher: Gita Maha Mandal
Release Date: 2025-03-30
The Story: Three ambitious AI researchers, supported by two of their friends, try to address the uncontrolled growth of AI technology and its misuse by corporations and governments. They search for a solution to provide a new direction for AI, for the good of humanity. What support do they receive, and do they finally achieve their goal? Many characters in the story are inspired by real people—sometimes up to 100%. The author fully owns the hypothesis and the hallucinations (as termed by AI professionals) of the story—gladly. About the Author & the Book: AI is now a daily trending topic, with tons of content discussing problems but hardly any offering solutions. More than you, your children—the next generation—must navigate these uncertain times. Moreover, they will learn everything about Artificial Intelligence from YouTube and social media. But who will guide them to the oldest intelligence—the subtle natural intelligence of humans—and the history of natural languages, their necessity, relevance to their future, and even their connection to modern AI? As a father of two, I have chosen to write a human story over a sci-fi narrative to explore the possibilities of solving AI-related concerns. With hope for positive times ahead, this hypothesis must become reality as soon as possible—and that will happen only if we all wish to make it so. This book aims to help readers, young and open in heart, recognize the science behind ancient wisdom. The Mundaka Upanishad says, "Svasti vah parāya tamasaḥ parastāt." "May your efforts to cross the ocean of darkness (of ignorance) and reach the shores of light and peace be fulfilled." So the genre aligns with क्ाांति पथ (The Path of Enlightenment) and its chosen title, The Oracle of Artificial Intelligence. It is intended for general readers aged 15 and up, requiring only curiosity—prior tech knowledge is only a bonus. Some sections deliberately adopt a textbook-like style for the general audience, while a few thoughts on possible technical solutions are included for those tracking AI research closely. However, general readers can safely skip these sections and still grasp the essence of the story. Additional references are available upon request. I’d love to hear your feedback. Stay blessed, and I wish you a happy reading journey into your golden future! — Sreenivas
Artificial Intelligence, Evolutionary Computing and Metaheuristics
Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.
Philosophy and Theory of Artificial Intelligence
Author: Vincent C. Müller
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-08-23
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.