Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Cognitive Robotics
The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Con...
Intrinsic motivations and open-ended development in animals, humans, and robots
The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals,...
From Animals to Animats 9
This book constitutes the refereed proceedings of the 9th International Conference on Simulation of Adaptive Behavior, SAB 2006. The 35 revised full papers and 35 revised poster papers presented are organized in topical sections on the animat approach to adaptive behaviour, perception and motor control, action selection and behavioral sequences, navigation and internal world models, learning and adaptation, evolution, collective and social behaviours, applied adaptive behavior and more.
Advances in Applied Self-organizing Systems
This book presents the state-of-the-art in successfully engineered self-organizing systems. It goes further, too, to examine ways to balance design and self-organization in the context of applications. As demonstrated throughout, finding this balance helps to deal with diverse practical challenges. The case studies described illustrate the richness of the topic and provide guidance on its more intricate areas.
The Challenge of Anticipation
The general idea that brains anticipate the future, that they engage in prediction, and that one means of doing this is through some sort of inner model that can be run of?ine,hasalonghistory. SomeversionoftheideawascommontoAristotle,aswell as to many medieval scholastics, to Leibniz and Hume, and in more recent times, to Kenneth Craik and Philip Johnson-Laird. One reason that this general idea recurs continually is that this is the kind of picture that introspection paints. When we are engaged in tasks it seems that we form images that are predictions, or anticipations, and that these images are isomorphic to what they represent. But as much as the general idea recurs, opposition to it also...
Evolution, Complexity and Artificial Life
Evolution and complexity characterize both biological and artificial life – by direct modeling of biological processes and the creation of populations of interacting entities from which complex behaviors can emerge and evolve. This edited book includes invited chapters from leading scientists in the fields of artificial life, complex systems, and evolutionary computing. The contributions identify both fundamental theoretical issues and state-of-the-art real-world applications. The book is intended for researchers and graduate students in the related domains.
Dreyfus Critique
What Is Dreyfus Critique Hubert Dreyfus was an opponent of the study being done on artificial intelligence. A gloomy evaluation of AI's progress and a critique of the philosophical foundations of the discipline were offered by him in a number of papers and books, including Alchemy and AI (1965), What Computers Can't Do (1986), and Mind over Machine (1986). Concerns raised by Dreyfus are addressed in the vast majority of introductory materials pertaining to the philosophy of artificial intelligence. Examples of such materials are Russell and Norvig's (2003) Artificial Intelligence: The Standard Textbook and Fearn's (2007) Survey of Contemporary Philosophy. How You Will Benefit (I) Insights, a...
Computers and Creativity
This interdisciplinary volume introduces new theories and ideas on creativity from the perspectives of science and art. Featuring contributions from leading researchers, theorists and artists working in artificial intelligence, generative art, creative computing, music composition, and cybernetics, the book examines the relationship between computation and creativity from both analytic and practical perspectives. Each contributor describes innovative new ways creativity can be understood through, and inspired by, computers. The book tackles critical philosophical questions and discusses the major issues raised by computational creativity, including: whether a computer can exhibit creativity ...
From Deep Learning to Rational Machines
"This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the active engagement of general psychological faculties-such as perception, memory, ...
Quantum Brain, Mind, and Thinking
The first chapter discusses the differences between the Brain, Mind, and Thoughts. It then introduces briefly the Quantum Science, Quantum Entanglement, Quantum Brain, Quantum Mind, and Quantum Thinking. The four chapters in Section-2 cover the topics of “Anatomical Structure of the Human Brain”; “Central Nervous System”; “Neurochemicals in a Happy and Peaceful Brain”, and “Quantum Brain”. The four chapters in Section-3 cover the topics of “Introduction to the Mind”; “Mind-Body Problem”, “Controlling the Mind”, and “The Quantum Mind”. The book ends with the seven chapters in Section-4, viz., “Introduction to the Thoughts and Thinking”; “Art of Thinking”; “Positive Thinking”, “Critical Thinking”; “Creative Thinking”, “Design Thinking”; and finally, “Quantum Thinking”. The author sincerely believes that a book of this nature will be appreciated by all the readers across the globe who wish to understand these important topics on the Quantum Brain, Mind and Thinking.
