Lecture 1: Introduction Introduction Agents and Multi-Agent Systems 1 Basics Lecturer: Dr. plus Prof. (1 class) Time: Tuesdays 900 – 1200 weekly except reading week Classes: Each is a mix of lecture and tutorial Materials: Slides, useful links, etc. all on KEATS (soon) Assessment: 100% multiple choice exam in January Questions: Use the KEATS discussion […]
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Review of Course/Syllabus Introduction to Machine Learning Part 1 ‹#› Learning Objectives for This Class Distinguish between learning and non-learning in AI Know when to apply neural nets Comfortable with “genetic algorithm” ‹#› By covering the basics of various techniques, we will compare how they can be applied. We will restrict this to two major
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1. Introduction and JUnit Search 1 A key perspective for AI an application is to interpret it as searching for a solution. For example, answering the question “How should I furnish my living room?” A systematic search algorithm that’s certain to yield all solutions is called brute force. Such algorithms do not, in general, account
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Turing Machines: Limits of Decidability COMP1600 / COMP6260 Australian National University Semester 2, 2020 Efficient Computation ‘$ All problems Feasible problems Computable problems Each of the inner sets is a tiny proportion of the set that contains it. &T% T 1/47 Time Complexity Q. It’s good about solving problems in general.
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1. Introduction and JUnit Natural Language 1 This module explores the relationship of AI to natural (i.e., ordinary) language. NL has always been part of AI but two things have have recently made an NL a key technology—if not part of our lives. The first is the recognition that machine learning is extraordinarily helpful for
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APS1070 Foundations of Data Analytics and Machine Learning Fall 2021 Lecture 1: • Introduction • CourseOverview • Machine Learning Overview • K-nearestNeighbourClassifier Prof. 1 2 Instruction Team Instructor: Prof. Head-TA: Zadeh TA: TA: Haoyan (Max) A: TA: Get to know the instruction team: https://q.utoronto.ca/courses/223861/pages/course-contacts 3 Communication ➢Preferred contact method for a quick response: Piazza; 1.
The exercises School of Computing and Information Systems COMP90038 Algorithms and Complexity Tutorial Week 9 Sample Answers (Solutions to 56–59 were provided earlier.) 60. Given a list of n distinct integers and a sequence of n boxes with fixed inequality signs between them, design an algorithm to place the numbers into the boxes while satisfying
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Turing Machines COMP1600 / COMP6260 Australian National University Semester 2, 2020 1/45 (1912–1954) 2/45 2/45 Turing’s Scientific contributions 1936 introduces Turing machines and the study of computability 1950. introduces the Turing test that turns AI into a concrete research problem current today: in June 2014, , a computer programme convinced 33% of judges that it
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Deterministic Finite Automata COMP1600 / COMP6260 Australian National University Semester 2, 2020 The Story So Far … Logic. language and proofs to speak about systems precisely useful to express properties and do proofs Functional Programs establish properties of functional programs main tool: (structural) induction Imperative Programs. again: focus on properties of programs main tool: Hoare
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Grammars and COMP1600 / COMP6260 Australian National University Semester 2, 2021 1/59 Formal Languages – A Reminder of Terminology The alphabet or vocabulary of a formal language is a set of tokens (or letters). It is usually denoted Σ. A string over Σ is a sequence of tokens, or the null-string ε. sequence may