What Is Artificial Intelligence Complete
In the field of artificial intelligence, the problems that are considered to be the most challenging are informally referred to as AI-complete or AI-hard. These names imply that the difficulty of these computational problems, presuming that intelligence is a function of computation, is equivalent to that of solving the central problem in artificial intelligence, which is the process of making computers as intelligent as people, also known as strong AI. When applied to an issue, the term "AI-complete" indicates that the problem cannot be solved using a straightforward algorithmic approach.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: AI-complete
Chapter 2: Vehicular automation
Chapter 3: Artificial general intelligence
Chapter 4: Computer vision
Chapter 5: Automated theorem proving
Chapter 6: Natural-language understanding
Chapter 7: Automated reasoning
Chapter 8: Synthetic intelligence
Chapter 9: Adaptive system
Chapter 10: Bongard problem
(II) Answering the public top questions about artificial intelligence complete.
(III) Real world examples for the usage of artificial intelligence complete in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence complete' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence complete.
In the field of artificial intelligence, the problems that are considered to be the most challenging are informally referred to as AI-complete or AI-hard. These names imply that the difficulty of these computational problems, presuming that intelligence is a function of computation, is equivalent to that of solving the central problem in artificial intelligence, which is the process of making computers as intelligent as people, also known as strong AI. When applied to an issue, the term "AI-complete" indicates that the problem cannot be solved using a straightforward algorithmic approach.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: AI-complete
Chapter 2: Vehicular automation
Chapter 3: Artificial general intelligence
Chapter 4: Computer vision
Chapter 5: Automated theorem proving
Chapter 6: Natural-language understanding
Chapter 7: Automated reasoning
Chapter 8: Synthetic intelligence
Chapter 9: Adaptive system
Chapter 10: Bongard problem
(II) Answering the public top questions about artificial intelligence complete.
(III) Real world examples for the usage of artificial intelligence complete in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence complete' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence complete.