5/06/2009

Exercise 24-part2

2. Describe how techniques such as artificial intelligence and statistical techniques are used in software agents.

Erols (2000) states that AI technologies extend from the word Technology which stems from the Greek word technos, which means "art" and "skill." A sophisticated technology is then a cumulative building of learned and well-refined skills and processes. In the AI area, these processes have manifested themselves in a number of well-recognized and maturing areas including Neural Networks, Expert Systems, Automatic Speech Recognition, Genetic Algorithms, Intelligent Agents, Natural Language Processing, Robotics, Logic Programming, and Fuzzy Logic. Each of these areas will be examined in some depth here, but it is first important to understand that the importance of these individual areas has changed over the last two decades. These changes have been based upon the progress in each area, and the needs that each area meets. For example in the early 1980’s robotics was a large thrust in artificial intelligence. At that time benefits could be seen in manufacturing applications. In the late 1990’s the blossoming of the Internet pushed the importance of intelligent agents forward for performing routine tasks and complex searches. At the same time, throughout the 1980s and 1990s, orders of magnitude advances in computer processing power have allowed hurdles in speech recognition and image processing to be overcome. The maturity of each of these technology areas also differs. Expert Systems and Automatic Speech Recognition are among the most mature while Natural Language Processing and Intelligent Agents remain in early stages of development. In the next few paragraphs the basis for each of these technologies will be reviewed. In addition examples where the technologies have been effectively utilized will be presented.

Wikipedia(2009) tells me there are some statistical techniques , for example, Analysis of variance (ANOVA), Chi-square test, Correlation, Factor Analysis, Mann-Whitney U,
Mean Square Weighted Deviation MSWD, Pearson product-moment correlation coefficient
Regression analysis, Spearman's rank correlation coefficient, Time Series Analysis, etc.



References:
Erols (2000). "A Primer on Artificial Intelligence Technologies ". Received 10th May, 2009 from URL -
http://users.erols.com/jsaunders/papers/aitechniques.htm.

Wikipedia (2009). "Statistics ". Received 10th May, 2009 from URL -
http://en.wikipedia.org/wiki/Statistics.

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