| Description |
1 online resource (387 p.) |
| Contents |
Cover -- Title Page -- Copyright -- Contents -- Acknowledgments -- Introduction -- Part I Systems and Artificial Intelligence -- Chapter 1 Artificial Intelligence, Science Fiction, and Fear -- 1.1 The Danger of AI -- 1.2 The Human Analogy -- 1.3 The Systems Analogy -- 1.4 Killer Robots -- 1.5 Watching the Watchers -- 1.6 Cybersecurity in a World of Fallible Humans -- 1.7 Imagining Failure -- 1.8 The New Role of Data: The Green School Bus Problem -- 1.9 Data Requirements -- 1.9.1 Diversity -- 1.9.2 Augmentation -- 1.9.3 Distribution -- 1.9.4 Synthesis -- 1.10 The Data Lifecycle |
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1.11 AI Systems and People Systems -- 1.12 Making an AI as Safe as a Human -- References -- Chapter 2 We Live in a World of Systems -- 2.1 What Is a System? -- 2.2 Natural Systems -- 2.3 Engineered Systems -- 2.4 Human Activity Systems -- 2.5 Systems as a Profession -- 2.5.1 Systems Engineering -- 2.5.2 Systems Science -- 2.5.3 Systems Thinking -- 2.6 A Biological Analogy -- 2.7 Emergent Behavior: What Makes a System, a System -- 2.8 Hierarchy in Systems -- 2.9 Systems Engineering -- Chapter 3 The Intelligence in the System: How Artificial Intelligence Really Works |
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3.1 What Is Artificial Intelligence? -- 3.1.1 Myth 1: AI Systems Work Just Like the Brain Does -- 3.1.2 Myth 2: As Neural Networks Grow in Size and Speed, They Get Smarter -- 3.1.3 Myth 3: Solving a Hard or Complex Problem Shows That an AI Is Nearing Human Intelligence -- 3.2 Training the Deep Neural Network -- 3.3 Testing the Neural Network -- 3.4 Annie Learns to Identify Dogs -- 3.5 How Does a Neural Network Work? -- 3.6 Features: Latent and Otherwise -- 3.7 Recommending Movies -- 3.8 The One-Page Deep Neural Network -- Chapter 4 Intelligent Systems and the People they Love |
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4.1 Can Machines Think? -- 4.2 Human Intelligence vs. Computer Intelligence -- 4.3 The Chinese Room: Understanding, Intentionality, and Consciousness -- 4.4 Objections to the Chinese Room Argument -- 4.4.1 The Systems Reply to the CRA -- 4.4.2 The Robot Reply -- 4.4.3 The Brain Simulator Reply -- 4.4.4 The Combination Reply -- 4.4.5 The Other Minds Reply -- 4.4.6 The Many Mansions Reply -- 4.5 Agreement on the CRA -- 4.5.1 Analyzing the Systems Reply: Can the Room Understand when Searle Does Not? -- 4.6 Implementation of the Chinese Room System |
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4.7 Is There a Chinese-Understanding Mind in the Room? -- 4.7.1 Searle and Block on Whether the Chinese Room Can Understand -- 4.8 Chinese Room: Simulator or an Artificial Mind? -- 4.8.1 Searle on Strong AI Motivations -- 4.8.2 Understanding and Simulation -- 4.9 The Mind of the Programmer -- 4.10 Conclusion -- References -- Part II Systems Engineering for Intelligent Systems -- Chapter 5 Designing Systems by Drawing Pictures and Telling Stories -- 5.1 Requirements and Stories -- 5.2 Stories and Pictures: A Better Way -- 5.3 How Systems Come to Be -- 5.4 The Paradox of Cost Avoidance |
| Notes |
Description based upon print version of record |
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5.5 Communication and Creativity in Engineering |
| Form |
Electronic book
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| ISBN |
9781119665618 |
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1119665612 |
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