>The App provides a refreshing and motivating new synthesis of the field of Artificial Intelligence: A New Synthesis takes the user on a complete tour of this intriguing new world of AI.
>Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do.
>This App discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds.
> Major theoretical approaches are outlined, as well as some recent developments. This App is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.
Topics Covered Listed Below
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?
What is Ideal Rational Agent?
The Structure of Intelligent Agents
Nature of Environments
Properties of Environment
AI - Popular Search Algorithms
Brute-Force Search Strategies
Comparison of Various Algorithms Complexities
Informed (Heuristic) Search Strategies
Local Search Algorithms
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
Steps in NLP
Implementation Aspects of Syntactic Analysis
Expert Systems Limitations
Applications of Expert System
Expert System Technology
Development of Expert Systems: General Steps
Benefits of Expert Systems
Difference in Robot System and Other AI Program
Components of a Robot
Application Domains of Computer Vision
Applications of Robotics
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
Intelligent System for Controlling a Three-Phase Active Filter
Comparison Study of AI-based Methods in Wind Energy
Fuzzy Logic Control of Switched Reluctance Motor Drives
Advantages of Fuzzy Control While Dealing with Complex/Unknown Model Dynamics: A Quadcopter Example
Retrieval of Optical Constant and Particle Size Distribution of Particulate Media Using the PSO-Based Neural Network Algorithm
A Novel Artificial Organic Controller with Hermite Optical Flow Feedback for Mobile Robot Navigation