计算机与智能化专业课程,计算机与人工智能专业方向课程大纲介绍-Artificial Intelligence 人工智能(原创）...

计算机与人工智能专业方向课程大纲介绍-Artificial Intelligence 人工智能

Course Goals

● To understand the various characteristics of Intelligent agents, learn the different search strategies in AI and represent knowledge in solving AI problems, understand the different ways of designing software agents and know about the various applications of AI.

● It is recommended for students who are planning to apply for a Masters of Computer Science Engineering / Deep Learning / Neural Networks.

Syllabus

Part A. Introduction

Introduction

●Definition

● Future of Artificial Intelligence

● Characteristics of Intelligent Agents

● Typical Intelligent Agents

● Problem Solving Approach to Typical AI problems.

Problem Solving Methods

●Problem solving Methods

● Search Strategies

● Uninformed and Informed

● Heuristics

● Local Search Algorithms and Optimization Problems

● Searching with Partial Observations

● Constraint Satisfaction Problems

● Constraint Propagation

● Backtracking Search

● Game Playing

● Optimal Decisions in Games

● Alpha – Beta Pruning

● Stochastic Games

Part B. Knowledge

Knowledge Representation

●First Order Predicate Logic

●Prolog Programming

●Unification

●Forward and Backward Chaining

●Resolution

●Knowledge Representation

●Ontological Engineering

●Categories and Objects and Events

●Mental Events and Mental Objects

●Reasoning Systems for Categories

●Reasoning with Default Information Software Agents

Software Agents

●Architecture for Intelligent Agents

●Agent communication

●Negotiation and Bargaining

●Argumentation among Agents

●Trust and Reputation in Multi-agent systems.

Part C. Applications

AI Applications

●AI applications

●Language Models

●Information Retrieval

●Information Extraction

●Natural Language Processing

●Machine Translation

●Speech Recognition

●Robot

●Hardware

●Perception

●Planning

●Moving