電子書 Lessons in Corporate Finance: A Case Studies Approach to Financial Tools, Financial Policies, and Valuation, 2nd Edition Asq
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Computational Approaches to Conscious Artificial Intelligence
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Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking.
This book raises a number of issues surrounding the nature and implications of conscious artificial intelligence:
How might concepts developed through research in machine consciousness enhance the functionality of AI systems, making them fully autonomous?
If self-explanatory information is related to qualia, does this imply that machines using self-explanatory information are conscious?
How is the interpretation of intelligence related to a system's ability to generate accurate predictions?
Is machine consciousness ultimately possible? And how might it be examined from an ethical standpoint?
This edited volume consists of 10 chapters that highlight the prospects of machine consciousness and study the subject from several perspectives. The issues are wide-ranging and include topics such as the metaverse, a computational approach to pain and suffering, universal cognitive intelligence, intentional action, the categorization of conscious machines, and more. The volume is designed as a reference guide for researchers, practitioners, and students interested in the intersection of AI and consciousness.
Sample Chapter(s)
Preface
Chapter 1: The Conscious Machine
Contents:
The Conscious Machine (Yan H Ng and Antonio Chellaa)
The Category of Machines that Become Conscious: An Example of Memory Modelling (Igor Aleksander)
A Constructive Explanation of Consciousness and its Implementation (Pei Wang)
On Artificial Intelligence, Consciousness and Robots (Pentti O A Haikonen)
Universal Cognitive Intelligence, from Cognitive Consciousness, and Lambda (Λ) (Selmer Bringsjord, Naveen Sundar Govindarajulu and James Oswald)
Intelligence and Consciousness in Natural and Artificial Systems (David Gamez)
Attention and Consciousness in Intentional Action: Steps Toward Rich Artificial Agency (Paul Bello and Will Bridewell)
Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI (JJames A Reggia, Garrett E Katz and Gregory P Davis)
Will Conscious Digital Creatures Roam the Metaverse? (Owen Holland)
On the Ethics of Constructing Conscious AI (Shimon Edelman)
Readership: Researchers, practitioners, students, informed readers interested in the intersection of Artificial Intelligence and Consciousness.
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3189
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3030
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159元
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Chemical Biology: Approaches to Drug Discovery and Development to Targeting Disease
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【簡介】
An authoritative look at the application of chemical biology in drug discovery and development
Based on the award-winning Wiley Encyclopedia of Chemical Biology published in 2008, this book explores the role of chemical biology in drug discovery and development. The first part of the book reviews key principles and techniques used in the design and evaluation of drug candidates. The second part elucidates biological mechanisms of certain diseases, illuminating approaches to investigate and target these diseases.
Comprising carefully selected reprints from the Encyclopedia as well as new contributions from leading scholars in the field, this book provides researchers in academia and industry with important information to aid in the development of novel agents to treat disease. Self-contained articles cover a variety of essential topics, including:
The design, development, and optimization of drug candidates
The pharmacokinetics and properties of drugs
Drug transport and delivery
Natural products and natural product models as pharmaceuticals
Biological mechanisms underlying health and disease
Treatment strategies for a range of diseases, from HIV to schizophrenia
Chemical Biology is a top-notch guide and reference for anyone working in the areas of drug discovery and development, including researchers in chemical biology and other fields such as biochemistry, medicine, and pharmaceutical sciences.
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Computational Approaches to Energy Materials 書角右上方輕微擠壓到
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【簡介】
The development of materials for clean and efficient energy generation and storage is one of the most rapidly developing, multi-disciplinary areas of contemporary science, driven primarily by concerns over global warming, diminishing fossil-fuel reserves, the need for energy security, and increasing consumer demand for portable electronics. Computational methods are now an integral and indispensable part of the materials characterisation and development process.
Computational Approaches to Energy Materials presents a detailed survey of current computational techniques for the development and optimization of energy materials, outlining their strengths, limitations, and future applications. The review of techniques includes current methodologies based on electronic structure, interatomic potential and hybrid methods. The methodological components are integrated into a comprehensive survey of applications, addressing the major themes in energy research.
Topics covered include:
• Introduction to computational methods and approaches
• Modelling materials for energy generation applications: solar energy and nuclear energy
• Modelling materials for storage applications: batteries and hydrogen
• Modelling materials for energy conversion applications: fuel cells, heterogeneous catalysis and solid-state lighting
• Nanostructures for energy applications
This full colour text is an accessible introduction for newcomers to the field, and a valuable reference source for experienced researchers working on computational techniques and their application to energy materials.
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電子書Participatory Visual Approaches to Adult and Continuing Education: Practical Insights: New Directions for Adult and Continuin
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