INTELLIGENT SYSTEMS AND INTELLIGENT AGENTS

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INTELLIGENT SYSTEMS AND INTELLIGENT AGENTS

• M. GamsInstitut Joef StefanLjubljana University

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Slovenia

 
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Intelligent systems
IN. SOCIETY

ENGINEERING, TECHNOLOGY
ARTIFICIAL INTELLIGENCE
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Major AI applications

• 30 Manufacturing and design
• 30 Business operations
• 25 Finance
• 12 Diagnostics and troubleshooting
• 12 Claims processing and auditing
• 11 Telephony
• 26 SW, military, space

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Plan

• Intelligent systems, agents
• Artificial intelligence
• Information society
• Internet,telecommunications
• HTML, XML, JavaScript, Java, tools
• Speech, communications, multimedia
• Practical getting good jobs

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Artificial intelligence

• Strong formal well-defined tasks, chess,
  Church-Turing thesis, academically
• cognitive - weakthe brains are the only truly
  intelligent system evolution
• Engineering, invisible real-life systems,
  function (money) over fancy ideas classical
  versus intelligent modern systems

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Relations between AIs
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Intelligent systems

• Engineering, invisible intelligence
• Practical directions, real-life problems
• Verified AI methods rule-based systems, trees,
  expert systems, fuzzy systems, neural networks,
  genetic algorithms, hybrid systems
• Intelligent systems simulate human bureaucrats,
  expert systems simulate experts

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Motivation I

• Society /human civilization is evolving into
  information society electronic village,
  informatization, infosphere, electronic services
• People are expensive, computers cheap computers
  work 24 hours a day, no vacations, network
  accessibility is worldwide, only 3
  microprocessors in computers, an average car 16
  microprocessors, exponential trend (faster,
  cheaper, more applications)
• Intelligent systems are more friendly, more
  flexible than classical systems (not truly
  intelligent, just a bit more than classical)

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Motivation II - productivity

• Productivity increases more work done with the
  same stuff or the same with less stuff
• New services simple reasoning, learning,
  adaptation to each single user (on top of faster
  calculating, fast response time), never
  frustrated, more constant performance,
• Improved quality of work Dumb/rigid classical
  programs, computers / boring, humans non-constant
  performers
• Cost/benefit favorable for I.s. for some tasks
  -too difficult for classical, not too intelligent

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Motivation III - benefits

• General trends globalization, decreasing
  governmental spending, employment costs
• Introduction of I.s. enables restructuring new
  functionality, new regulation e-government
  government over the Internet
• hard competition- for each workplace, everybody
  is evaluated constantly, many candidates for
  important good jobs
• Science, development, technology additional
  advantage

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Motivation IV - bureaucracy

• Specificity of bureaucratic tasks (information
  tasks) good and bad
• great number of users, repeating tasks, simple
  tasks, simple structure of tasks, low level of
  intelligence needed for typical tasks, mostly
  predefined
• Tasks still demand a certain level of
  understanding, flexibility and reasoning
  capabilities

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Motivation V typical tasks

• Small improvement huge benefits US Internal
  Revenue Service (15 mio letters each year, after
  introduction of intelligent systems no. of
  mistakes/errors from 33 to 10 elections
• More user friendly better ratings
• Internet is very appropriate for I.s. always
  available, everywhere,

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Conclusion

• Intelligent systems apply AI methods and
  introduce intelligent services
• I.s. combine advantages of computer systems
  (cost, availability) with some human properties
  (simple engineering intelligence learning,
  adapting, reasoning), and achieve better
  cost/benefit for several tasks
• Especially appropriate for mundane bureaucratic
  tasks in information society