1. Intelligent systems Lection 2 – Applied AI Systems Part 1

2. Kinds of Applied AI Systems Expert systems (ES) Intelligent Robots Programs with Natural Language Processing (NLP) Systems for Intelligent Data Analyzing (IDA) Artificial Life AI in games Identification in security systems Systems for smart home, in particular, caregiver for elders Embedded AI in different useful systems (OS, office programs, programming tools, control systems)

3. Experts systems. Tasks solved by ES and areas of using Tasks: Diagnostics Monitoring Control Identification Planning Forecasting Simulation Training Projecting (configuring) Areas: Business Medicine Manufacturing Computers Communications Science (mathematics, physics, chemistry) Transport Space Defense Education

4. Examples of ES MYCIN – (1970) for diagnostics of enteric infection DENDRAL (1969) – for determination of structure of molecules from spectral analyzing PROSPECTOR – for searching of minerals XCON – for configuring of computer systems YES/MVS – for supervising of OS/370 IBM POMME – for care for apple trees AIRPLANE – for help to pilot to land on aircraft- carrier MODIS – for diagnostics of hypertension NetWizard – for configuring of local networks MIDAS – for diagnostics and repair of power system

5. Structure of ES Knowledge base (KB) Engine for solving of task Subsystem for modification of KB Subsystem for explanation Subsystem for interaction Working memory (base of facts and hypothesis) User

6. Programs with Natural Language Processing (NLP) –Translators (ex. - PROMT from ABBYY) –OCR-Systems (ex. – Finereader of ABBYY) –Recognition of speech (ex. - Dragon from IBM) –Dialog systems (ex. - ALICE-like programs) –QA-Systems (Question-Answer) –Virtual Persons (ex. – Ramona http://www.kurzweilai.net/index.html) –Automatic reader (with synthesis of speech) –Search of documents by query by NL

7. Systems for Intelligent Data Analyzing (IDA) Statistica PolyAnalyst from Megaputer TextAnalyst from Megaputer MatLab MathCad

8. Artificial Life Models of evolution Models of animals (fish, ants) Models of cooperation in population Goal: Investigations of animals and life (test of our performances) Entertainment Tutoring in school

9. AI in games (AIG) AI of personage in Actions or Real Time Strategies AI for support of player AI for simulation of world (for example, in strategies) Difference between AI in games and AI of scientists: AIG is more simple AIG is oriented on intelligent-like behavior but not deep simulation of mind (on commercial result) Often the main requirement is speed of action

10. Identification in security systems Recognition of face Recognition of emotions and intention of people Identification of person by prints of fingers Identification of behavior with credit card Identification of hacker’s attacks Computer vision for control of highways

11. Systems for smart home, in particular, caregiver for elders Functions of caregiving system developed in Fukuoka University

12. Embedded AI in different useful systems (OS, office programs, programming tools, control systems and so on) Devices for checking of natural language in MS Word Fuzzy control programs in consumer electronics Recognition of speech commands in OS/2 and OS MS Windows Synthesis of speech in auto electronics Speech recognition in cellular phones