Advanced Artificial Intelligence

The following sections are included:

• Preface

• Acknowledgement

• Contents

The following sections are included:

• Brief History of AI

• Cognitive Issues of AI

• Hierarchical Model of Thought

• Symbolic Intelligence

• Research Approaches of Artificial Intelligence

• Automated Reasoning

• Machine Learning

• Distributed Artificial Intelligence

• Artificial Thought Model

• Knowledge Based Systems

• Exercises

The following sections are included:

• Introduction

• Logic Programming

• Nonmonotonic Logic

• Closed World Assumption

• Default Logic

• Circumscription Logic

• Nonmonotonic Logic NML

• Autoepistemic Logic

• Truth Maintenance System

• Situation Calculus

• Frame Problem

• Dynamic Description Logic

• Exercises

The following sections are included:

• Introduction

• Backtracking

• Constraint Propagation

• Constraint Propagation in Tree Search

• Intelligent Backtracking and Truth Maintenance

• Variable Instantiation Ordering and Assignment Ordering

• Local Revision Search

• Graph-based Backjumping

• Influence-based Backjumping

• Constraint Relation Processing

• Constraint Reasoning System COPS

• ILOG Solver

• Exercises

The following sections are included:

• Introduction

• Basic approaches in qualitative reasoning

• Qualitative Model

• Qualitative Process

• Qualitative Simulation Reasoning

• Algebra Approach

• Spatial Geometric Qualitative Reasoning

• Exercises

The following sections are included:

• Overview

• Basic Notations

• Process Model

• Case Representation

• Case Indexing

• Case Retrieval

• Similarity Relations in CBR

• Case Reuse

• Case Retainion

• Instance-Based Learning

• Forecast System for Central Fishing Ground

• Exercises

The following sections are included:

• Introduction

• Foundation of Bayesian Probability

• Bayesian Problem Solving

• Naїve Bayesian Learning Model

• Construction of Bayesian Network

• Bayesian Latent Semantic Model

• Semi-supervised Text Mining Algorithms

• Exercises

The following sections are included:

• Introduction

• Logic Foundation of Inductive Learning

• Inductive Bias

• Version Space

• AQ Algorithm for Inductive Learning

• Constructing Decision Trees

• ID3 Learning Algorithm

• Bias Shift Based Decision Tree Algorithm

• Computational Theories of Inductive Learning

• Exercises

The following sections are included:

• Statistical Learning Problem

• Consistency of Learning Processes

• Structural Risk Minimization Inductive Principle

• Support Vector Machine

• Kernel Function

• Exercises

The following sections are included:

• Introduction

• Model for EBL

• Explanation-Based Generalization

• Explanation Generalization using Global Substitutions

• Explanation-Based Specialization

• Logic Program of Explanation-Based Generalization

• SOAR Based on Memory Chunks

• Operationalization

• EBL with imperfect domain theory

• Exercises

The following sections are included:

• Introduction

• Reinforcement Learning Model

• Dynamic Programming

• Monte Carlo Methods

• Temporal-Difference Learning

• Q-Learning

• Function Approximation

• Reinforcement Learning Applications

• Exercises

The following sections are included:

• Introduction

• Reduction of Knowledge

• Decision Logic

• Reduction of Decision Tables

• Extended Model of Rough Sets

• Experimental Systems of Rough Sets

• Granular Computing

• Future Trends of Rough Set Theory

• Exercises

The following sections are included:

• Introduction

• The Apriori Algorithm

• FP-Growth Algorithm

• CFP-Tree Algorithm

• Mining General Fuzzy Association Rules

• Distributed Mining Algorithm For Association Rules

• Parallel Mining of Association Rules

• Exercises

The following sections are included:

• Introduction

• Formal Model of Evolution System Theory

• Darwin's Evolutionary Algorithm

• Classifier System

• Bucket Brigade Algorithm

• Genetic Algorithm

• Classifier System Boole

• Rule Discovery System

• Evolutionary Strategy

• Evolutionary Programming

• Exercises

The following sections are included:

• Introduction

• The Essence of Agent

• Agent Architecture

• Agent Communication Language ACL

• Coordination and Cooperation

• Mobile Agent

• Multi-Agent Environment MAGE

• Agent Grid Intelligence Platform

• Exercises

The following sections are included:

• Introduction

• Exploration of Artificial Life

• Artificial Life Model

• Research Approach of Artificial Life

• Cellular Automata

• Morphogenesis Theory

• Chaos Theories

• Experimental Systems of Artificial Life

• Exercises

The following sections are included:

• References