Hybrid Intelligence : Technology and Application
1 Introduction
1.1 Thinking Simulation Method
★ Symbol Processing Method Based on Psychology
★ Artificial Neural Network Method Based on Physiology
★ Self-adaptive Method Based on Evolutionism
★ Agent Method Based on Sociology
1.2 Classifications(Schools) of Intelligence
★ Artificial Intelligence
☆ Symbolicism : Logicism, Psychologism,Computerism
☆ Connectionism : Bionicsism, Physiologism
☆ Actionism : Evolutionism, Cyberneticsism
★ Computational Intelligence
☆ Fuzzy Logic
☆ Evolutionary Computation
☆ Neural Computation
☆ Optimized Algorithms
★ Biological Intelligence: ( Simulated Evolution )
☆ Genetic Algorithms
☆ Genetic Programming
☆ Evolution Strategy
☆ Evolutionary Programming
2 Hybrid Intelligence Frame
2.1 ANN and ES
★ Independence Model
★ Loose Coupling Model
★ Tight Coupling Model
★ Integration Model
★ Transformation Model
2.2 ANN and GA
★ Connection Weight Evolution
★ Network Structure Evolution
★ Learning Rules Evolution
x1 y1
xn y2
xm yn
Fig. 1 General Structure of Genetic Neural Network Model
NN1 NN2 NN1 NN2
X1 X2 X1 X2 X1 X2 X1 X2
a b c d a f g h a f d a b c g h
Y Y Y Y
Fig. 2 Cross Operator in Genetic Neural Network
Y
fi<e?
N
Fig. 3 Training Neural Network Weight with Genetic Algorithms
2.3 GA and ES
Fig. 4 Knowledge Discovery with GA in ES
2.4 GA and FL
★ Coupling
Commutative Embedding Pattern
★ Fuzzy System Design
Adjusting Membership Subjection Degree
Deciding Logic Rules
Modifying Subjection Degree Function
★ Genetic System Operation
Applying Fuzzy Logic Controller
Utilizing Fuzzy System for Evaluating Function
★ Integration System
Learning Action
Data Classification
2.5 ANN and FL
2.6 ES and FL
3 Application
Several instances:
知
遗传神经网络模块GANN 解 识
数据采集 指标预报 指标控制 推 释 库
理 系 管
机 统 理
输 面 向 对 象 黑 板 系
入 生产数据 事实 规则 中间信息 最终结果 统
与 信息层n 信息层n-1 …… 信息层2 信息层1
输
出 学
知识源k 知识源k-1 …… 知识源2 知识源1 习
面 向 对 象 知 识 库 系
统
图5 生产过程操作指导子系统的功能结构
ES使用者（用户）
使 用 接 口
咨 询 预 处 理
开 发 接 口
知识获取系统 知识库管理系统
ES开发者（领域专家）
图6 故障诊断子系统的功能结构
图7 基于Agent的分布式问题求解系统
图8 SGES系统的功能结构
4 Other Researched(ing) Key Technologies
4.1 Distributed Artificial Intelligence Based on Multi-agent
4.2 Model and Communication of Wholly-integrated Intelligent Platform
4.3 Universal Knowledge and Concept Representation Based on Ontology
4.4 Skeletal Tool of Intelligent System
4.5 Java Intelligent System Environment
4.6 Integrated Intelligence for DM and KDD