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The description of Artificial Intelligence (Ai) What Is Ai? App

This app helps you to learn all about artificial intelligence (AI) It covers:
Artificial Intelligence- Introduction
Philosophy of AI
Goals of AI
What Contributes to AI?
Programming Without and With AI
What is AI Technique?
Applications of AI
History of AI
What is Intelligence?
Types of Intelligence
What is Intelligence Composed of?
Difference between Human and Machine Intelligence
Artificial Intelligence - Research Areas
Working of Speech and Voice Recognition Systems
Real Life Applications of AI Research Areas
Task Classification of AI
What are Agent and Environment?
Agent Terminology
Rationality
What is Ideal Rational Agent?
The Structure of Intelligent Agents
Nature of Environments
Properties of Environment
AI - Popular Search Algorithms
Search Terminology
Brute-Force Search Strategies
Comparison of Various Algorithms Complexities
Informed (Heuristic) Search Strategies
Local Search Algorithms
Simulated Annealing
Travelling Salesman Problem
Fuzzy Logic Systems
Fuzzy Logic Systems Architecture
Example of a Fuzzy Logic System
Application Areas of Fuzzy Logic
Advantages of FLSs
Disadvantages of FLSs
Natural Language Processing
Components of NLP
Difficulties in NLU
NLP Terminology
Steps in NLP
Implementation Aspects of Syntactic Analysis
Top-Down Parser
Expert Systems
Knowledge Base
Inference Engine
User Interface
Expert Systems Limitations
Applications of Expert System
Expert System Technology
Development of Expert Systems: General Steps
Benefits of Expert Systems
Robotics
Difference in Robot System and Other AI Program
Robot Locomotion
Components of a Robot
Computer Vision
Application Domains of Computer Vision
Applications of Robotics
Neural Networks
Types of Artificial Neural Networks
Working of ANNs
Machine Learning in ANNs
Bayesian Networks (BN)
Building a Bayesian Network
Applications of Neural Networks
AI - Issues
A I- Terminology

AI Overview
Short History
Goals
Long Term Goals
AI Applications
Tools
Action Selection
# Basic Concept of Artificial Intelligence.

# Deduction, Reasoning, Problem Solving

# Knowledge Representation
# Planning
# Learning
# Natural Language Processing (communication)
# Perception
# Motion and Manipulation
# Action selection
# Affective computing
# AI box
# AI-complete
# Algorithmic probability
# Automated reasoning
# Autonomic Computing
# Autonomic Networking
# Backward chaining
# Bayesian network
# Bio-inspired computing
# Artificial immune systems
# Blackboard system
# Chatterbot
# Combs method
# Commonsense reasoning
# Computational humor
# Computer-assisted proof
# Conceptual dependency theory
# Darwin machine
# Description logic
# Frame problem
# Game theory
# Grammar systems theory
# Informatics (academic field)
# Intelligent control
# Kinect
# LIDA (cognitive architecture)
# Means-ends analysis
# Moravec's paradox
# Music and artificial intelligence
# Ordered weighted averaging aggregation operator
# PEAS – Performance, Environment, Actuators, Sensors
# Percept (artificial intelligence)
# Perceptual Computing
# Rule-based system
# Self-management (computer science)
# Soft computing
# Software agent
# Intelligent agent / Rational agent
# Autonomous agent
# Automated planning and scheduling
# Control system
# Hierarchical control system
# Networked control system
# Distributed artificial intelligence
# Multi-agent system
# Monitoring and Surveillance Agents
# Embodied agent
# Situated AI
# Sussman Anomaly
# Wetware (brain)