MindMap Gallery 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 19:10:53This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
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
AI
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