Artificial Intelligence (AI)

This app helps you to learn all about Artificial Intelligence (AI)

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)