Intelligent systemsLection 2 – Applied AI Systems

Part 1

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)

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

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

Structure of ES

Knowledge base (KB)

Engine forsolving of task

Subsystem formodification of KB

Subsystem forexplanation

Subsystem forinteraction

Working memory (base of facts and hypothesis)

User

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

Systems for Intelligent Data Analyzing (IDA)

• Statistica

• PolyAnalyst from Megaputer

• TextAnalyst from Megaputer

• MatLab

• MathCad

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

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

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

Systems for smart home, in particular, caregiver for elders

7

System Function

Executing a daily medical checking plan

Generating efficient discourse plansaccording to the user’s symptoms

Dealing with the user’s interruptions which can cause a spontaneous topic shifting

Providing a usable interface for elderly people using audio and visual interactions

Functions of caregiving system developed in Fukuoka University

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