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Introduction to Artificial Intelligence - Donald Bren School of ...

Introduction to Artificial IntelligenceKalev KaskICS 271 Fall 2014271-fall 2014 ~kkask/Fall-2014 CS271/Course requirementsAssignments: There will be weekly homework assignments, a project, a : Homework will account for 20% of the grade, project 30%, final 50% of the : Optional. 2014 Course overview Introduction and Agents (chapters 1,2) Search (chapters 3,4,5,6) Logic (chapters 7,8,9) Planning (chapters 10,11) Uncertainty and probability (chapters 13-14)271-fall 2014 Plan of the coursePart I Artificial Intelligence1 Introduction 2 Intelligent Agents Part II Problem Solving3 Solving Problems by Searching 4 Beyond Classical Search 5 Adversarial Search 6 Constraint Satisfaction Problems Part III Knowledge and Reasoning7 Logical Agents 8 First-Order Logic 9 Inference in First-Order Logic 10 Classical Planning 11 Planning and Acting in the Real World Part IV Uncertainty13 Uncertainly14 Probabilistic Reasoning271-fall 2014 Resources on the internetResources on the Internet AI on the Web.

Neural networks that learn ... is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a ... • Static (vs. dynamic): The environment is unchanged while an agent is deliberating. (The environment is semidynamic

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