Download TG4.1

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Machine learning wikipedia, lookup

Embodied cognitive science wikipedia, lookup

Agent (The Matrix) wikipedia, lookup

Wizard of Oz experiment wikipedia, lookup

Ecological interface design wikipedia, lookup

Human–computer interaction wikipedia, lookup

Agent-based model wikipedia, lookup

Intelligence explosion wikipedia, lookup

Philosophy of artificial intelligence wikipedia, lookup

Personal knowledge base wikipedia, lookup

Existential risk from artificial general intelligence wikipedia, lookup

Incomplete Nature wikipedia, lookup

Genetic algorithm wikipedia, lookup

AI winter wikipedia, lookup

Ethics of artificial intelligence wikipedia, lookup

Knowledge representation and reasoning wikipedia, lookup

History of artificial intelligence wikipedia, lookup

Transcript
TECHNOLOGY GUIDE
FOUR
Intelligent Systems
TECHNOLOGY GUIDE OUTLINE
TG4.1 Introduction to Intelligent Systems
TG4.2 Expert Systems
TG4.3 Neural Networks
TG4.4 Fuzzy Logic
TG4.5 Genetic Algorithms
TG4.6 Intelligent Agents
LEARNING OBJECTIVES
1. Differentiate between artificial intelligence
and human intelligence.
2. Define expert systems, and provide
examples of their use.
3. Define neural networks, and provide
examples of their use.
4. Define fuzzy logic, and provide examples of
its use.
LEARNING OBJECTIVES (continued)
5. Define genetic algorithms, and provide
examples of their use.
6. Define intelligent agents, and provide
examples of their use.
TG4.1 Introduction to Intelligent Systems
Intelligent systems
Artificial intelligence (AI)
© Luis Alonso Ocana/Age Fotostock America, Inc.
TG 4.2 Expert Systems
Expertise
Expert systems (ESs)
Expertise Transfer from Human to Computer
Knowledge acquisition
Knowledge representation
Knowledge inferencing
Knowledge transfer
The Components of Expert Systems
Knowledge base
Inference engine
User interface
Blackboard
Explanation subsystem
TG4.3 Neural Network
TG 4.5 Genetic Algorithms
Genetic algorithms have three functional
characteristics:
• Selection
• Crossover:
• Mutation:
TG 4.6 Intelligent Agents
Information Agents
Monitoring-and-Surveillance Agents
User Agents