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所在平台: Udemy |
课程主页: https://www.udemy.com/course/problem-solving-in-artificial-intelligence-p/
课程评论：没有评论
课程名称：人工智能中的问题解决 课程概述：本课程介绍了在人工智能（AI）中用于解决复杂问题的核心概念、技术和策略。课程设计适合初学者和中级学习者，重点在于使系统能够在动态环境中进行决策、解决复杂问题并智能地行动。学习者将能够分析问题、选择合适的AI技术并实施解决方案。学生将探索经典的AI方法，如搜索算法、约束满足和规划。 学习成果：完成本课程后，学生将能够： 1. 将现实世界场景表述为AI问题解决任务； 2. 实施并比较各种搜索和规划算法； 3. 使用AI技术解决约束满足问题； 4. 设计能够在对抗环境中做出决策的代理； 5. 在游戏和导航等领域应用AI问题解决方法。 课程内容： - 人工智能问题解决导论 - AI技术及其应用 - 问题解决过程 - 问题类型及其特征 - 问题空间与搜索 - 经典问题及其解决 - 启发式搜索方法（最佳优先搜索、A*算法） - 对抗搜索方法（博弈论、Minmax和Alpha-Beta剪枝） - 约束满足问题（如密码算术问题） - AI代理设计 - AI中的知识表示（Wumpus世界问题） - 综合与归结 - 规划（积木世界问题） 总之，本课程为学习者提供了深入理解和应用人工智能问题解决方法的机会，涵盖了多个重要的主题和技术，适合希望在AI领域深入发展的学生。
This course is not sponsored by or affiliated with Udemy, Inc."This course introduces the core concepts, techniques, and strategies used in Artificial Intelligence (AI) to solve complex problems. Designed for beginners and intermediate learners. it focuses on enabling systems to make decisions, solve complex problems, and act intelligently in dynamic environments.Learners will be able to analyze problems, select appropriate AI techniques, and implement solutions. Students will explore classical AI approaches such as search algorithms, constraint satisfaction, and planning.Learning Outcomes:By the end of this course, students will be able to:Formulate real-world scenarios as AI problem-solving tasks.Implement and compare various search and planning algorithms.Solve constraint satisfaction problems using AI techniques.Design agents that can make decisions in adversarial environments.Apply AI problem-solving methods in domains such as games and navigation.Topics Covered:Introduction to Problem solving with AIAI Techniques, Problem solving processProblem types and characteristics, Problem space and searchTOY ProblemSearching for solutionsInformed Search Methods (Best First search, A* Algorithm)Adversarial Search Methods (Game Theory) (Minmax and Alpha Beta Pruning)Constraint satisfactory problems (Crypt Arithmetic Problems)AI AgentsKnowledge Representation in AI - Wumpus World problemUnification and ResolutionPlanning - Blocks World Problem
