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This document discusses the implementation of expert systems (SE) in archaeology, particularly for analyzing artifacts like coins and tools. It emphasizes that while the rules guiding these systems may be subjective, they are explicitly defined and can be documented, ensuring that different users can achieve consistent results. The text outlines recent projects in artificial intelligence and expert systems, including identification systems for whales, and suggests business ideas for companies that produce customized expert systems and interactive web interfaces.
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SE în arheologie • SE pentru analiza monedelor şi a uneltelor http://www.hf.uio.no/iakh/forskning/sarc/iakh/lithic/expsys.html • rules of the ES are subjective, but they are explicit in that they can be written down and incorporated into the computer program • the observations of the archaeologist are defined and the rules are explicit therefore anyone can produce the same results, so that though the system is subjective it is consistent when different subjectivities (i.e. different individuals) use it.
Bibliografie şi exemple de SE • http://www.aaai.org/AITopics/html/expert.html • http://www.aaai.org/AITopics/newstopics/expert.html<= proiecte recente în IA şi SE
Identificarea balenelor • http://www.aiinc.ca/demos/whale.shtml • The Java Whale Watcher is quite similar to the CGI-based Whale Watcher – it even uses the same knowledge base. The obvious difference between the two Whale Watchers is the method of displaying information to the user. The CGI version uses HTML web pages to present information, and the Java version displays all information in the Applet's window.
Idei de afaceri • Înfiinţaţi o firmă: • realizaţi SE la comandă • creaţi interfeţe ale SE pentru rulare interactivă pe Web • portaţi SE în diverse tehnologii