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’s “cognitive revolution”. Certainly, many techniques in machine learning derive from the e orts of psychologists to make more precise their theories of animal and human learning through computational models CSE Spring, Payette & Lu. In this lecture, we study Artificial Intelligence and Machine Learning. In this book we fo-cus on learning in machines. We start by defining and looking at the history of Artificial Intelligence. It is a critical branch of cognitive science, and “Over the next few ades, artificial intelligence is poised to dramati-cally change almost every aspect of our lives, in large part due to today’s breakthroughs in deep learning In this lecture, we study Artificial Intelligence and Machine Learning. AI therefore has to study how the human brain ‘thinks’, learns, and makes isions when it tries to solve problems or execute a task Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task such as only facial recognition, or only internet searches, or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI) and psychologists study learning in animals and humans. We explore the technological advances that allowed the recent renaissance in the field, and then some of the common types of AI systems out there in the wild Preface (pdf); Contents with subsections. We explore the technological This chapter will explain what artificial intelligence is and the different types of AI, such as strong AI and weak AI. You will also learn about various AI workloads and the main Four schools of thoughts (Russel & Norvig) Thinking humanly: cognitive approach. I Artificial IntelligenceIntroductionIntelligent AgentsII Problem-solvingSolving Problems by SearchingSearch in Complex EnvironmentsAdversarial Search and GamesConstraint Satisfaction ProblemsIII Knowledge, reasoning, and planning Requires to determine how humans think! We start by defining and looking at the history of Artificial Intelligence. There are several parallels between animal and machine learning. Requires scientific theories Fig Applications of Artificial Intelligence Artificial Intelligence is an attempt to make a computer, a robot, or other piece of technology ‘think’ and process data in the same way as we humans do. Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms.
