MindMap Gallery Introduction to Artificial Intelligence

Introduction to Artificial Intelligence

This is a mind map about the introduction to artificial intelligence, which introduces the introduction, knowledge representation and knowledge graph, deterministic reasoning methods, search and solution strategies, expert systems and machine learning, etc.

Edited at 2022-04-03 19:10:53

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Introduction to Artificial Intelligence

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Introduction to Artificial Intelligence

introduction

Basic concepts of artificial intelligence

smart concept

Intelligence is the sum of knowledge and intelligence

Intelligent characteristics

Sentient

Have memory and thinking

Artificial intelligence is a discipline that studies how to construct intelligent machines or intelligent systems so that they can simulate, extend, and expand human intelligence.

A brief history of the development of artificial intelligence

Basic content of artificial intelligence research

knowledge representation

machine perception

machine thinking

Main research areas of artificial intelligence

Automatic theorem proving

game

pattern recognition

machine vision

natural language understanding

Intelligent information retrieval

Data Mining and Knowledge Discovery

expert system

robot

Combinatorial optimization problem

Knowledge representation and knowledge graph

The concepts of knowledge and knowledge representation

concept of knowledge

an information structure formed by associating related information together

properties of knowledge

representation of knowledge

First-order predicate logic representation

proposition

predicate

Properties of predicate formulas

production notation

production

production system

frame notation

Knowledge graph

deterministic reasoning method

basic concepts of reasoning

Definition of reasoning

Reasoning methods and their classification

direction of reasoning

conflict resolution strategies

natural deductive reasoning

Methods for formulating predicates into sets of clauses

Robinson's principle of reduction

reduction inversion

Search solution strategy

Search concept

Basic questions and processes of search

search strategy

State space search strategy

state space representation

Graph Description of State Space

blind search strategy

Backtracking strategy

width

depth

Heuristic graph search strategies

heuristic strategy

Heuristic information and valuation function

A search

A*Search

Expert systems and machine learning

The emergence and development of expert systems

working principle

Main processes and modes

machine learning

Intelligent computing and its applications

The emergence and development of evolutionary algorithms

The concept of evolutionary algorithms

Biological background of evolutionary algorithms

Design Principles of Evolutionary Algorithms

basic genetic algorithm

coding

group setting

fitness function

choose

cross

Mutations

General steps of genetic algorithm

Characteristics of genetic algorithms

Improved algorithm of genetic algorithm

Artificial neural networks

Neurons and Neural Networks

BP neural network

Hopefiled neural network and its improvements

Convolutional Neural Networks and Deep Learning

uncertainty reasoning method

The concept of uncertainty reasoning

credibility approach

evidence theory

probability distribution function

credibility approach

evidence theory

Fuzzy reasoning method