Intelligent Systems in Business


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Intelligent Systems in Business

  1. 1. Intelligent Systems in Business Intelligent Agents Lecture 7.10.2008 Definition fi i i A software program that uses a built in or learned knowledge base to carry out kno ledge carr o t specific, repetitive and predictable tasks for an individual user, business process or pp software application
  2. 2. Examples on tasks l k Make decisions on users preferences – Delete junk email j – Schedule appointments – Travel over interconnected networks to find the cheapest airfare to a certain destiny Serve as personal digital assistants – Training or teaching the user (the Wizard in MS Office – Search engines on www do not usually qualify as intelligent agents – Lisp-coach i h – PersonaLink Examples on Intelligent Agents l lli A Buyer agents (shopping bots) These bots help Internet surfers find products and services they are searching for. For example, when a person surfs for an item on eBay, at the bottom p y, of the page there is a list of similar products that other customers who did the same search looked at. This is because it is assumed the user tastes are relatively similar and they will be interested in the same products. This technology is known as d t Thi t h l i k collaborative filtering.
  3. 3. User agents (personal agents) Meant to carry out tasks automatically for the user user. Sort emails according to the user's order of preference, f Assemble customized news reports (e.g. newshub), or Fill out webpage forms with the user s user's stored information (e.g. Form Filler bot), . Monitoring-and-surveillance (predictive) agents Used to observe and report on equipment, usually computer systems, for example s all comp ter s stems e ample Keep track of company inventory levels, Observe competitors' prices and relay them back to the company, company Watch stock manipulation by insider trading and rumors, etc.
  4. 4. Data mining agents This agent uses information technology to find trends and patterns in an abundance of information from many different sources. The user can sort through this information in order to find whatever information they are seeking. An example of this class of bot would be a data mining agent that detects market conditions and changes and relays them back to a g y user/company so that the user/company can make decisions accordingly. For example, the agent may detect a decline in the construction industry f i d t for an economy; based on this relayed information b d thi l d i f ti construction companies will be able to make intelligent decisions regarding the hiring/firing of employees or the purchase/lease of equipment in order to best suit their firm. firm Difficulties with Intelligent Agents No standard way on presenting information on the web eb – Solutions – W3C • XML – • XBRL
  5. 5. W3C 3C The World Wide Web Consortium (W3C) is an international consortium where Member organizations, a full-time staff, and the public work together to develop Web standards. W3C's standards W3C s mission is: To lead the World Wide Web to its full potential by developing protocols and guidelines that ensure long-term growth for the long term Web. Source: XML W3C is pleased to announce the renewal of the Extensible Markup Language (XML) Activity. "W3C created, developed and continues to maintain the enormously successful XML family of specifications for supporting and interchanging text, graphics, protocols, voice, music, math, programming, user interfaces, Web services and more," said Liam Quin, W3C XML Activity Lead. The XML A ti it ' nine groups maintain stability and Activity's i i t i t bilit d backwards compatibility, make improvements to encourage interoperability, and bring new communities to g p y, g XML. Source:
  6. 6. XBRL “The idea behind XBRL, eXtensible Business Reporting Language, is simple. Instead of treating Language simple financial information as a block of text - as in a standard internet page or a printed document - it provides an identifying tag for each individual item of data. This is computer readable. For data readable example, company net profit has its own unique tag. tag “ – Why tags h “The introduction of XBRL tags enables automated processing of business information by computer software, cutting out laborious and costly processes of manual re- re entry and comparison. Computers can treat XBRL data "intelligently": they can recognise the information in a XBRL document, select it, i h i f i i d l i analyse it, store it, exchange it with other computers and present it automatically in a variety of ways for users. XBRL greatly increases the speed of handling of financial data, reduces the chance of error and permits automatic checking of information. “ –
  7. 7. Benefits with XBRL fi ih “Companies can use XBRL to save costs and streamline their processes for collecting and reporting financial information. Consumers of financial data, including investors, data investors analysts, financial institutions and regulators, can receive, find receive find, compare and analyse data much more rapidly and efficiently if it is in XBRL format. format “ – Benefits with XBRL fi ih XBRL can handle data in different languages and accounting standards standards. It can flexibly be adapted to meet different requirements and uses. i t d Data can be transformed into XBRL by suitable mapping tools or it can be generated in XBRL by appropriate software.
  8. 8. XBRL - taxonomies i http://www.xbrl- de tschland de/GermanAP 2002 02 15 en _nav.html Who uses it h i “XBRL is already in practical use for specific purposes in several countries and p rposes se eral co ntries projects are under way to introduce it in others. – g