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Intelligent systems Lection 2 – Applied AI Systems Part 1

Intelligent systems Lection 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

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Intelligent systems Lection 2 – Applied AI Systems Part 1

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  1. Intelligent systemsLection 2 – Applied AI SystemsPart 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 User 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)

  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

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