one major problem of Pac-Man Game is how to generate intelligence of opponents at appropriate challenge level. This paper presents an approach for creating game opponents by DDA (Dynamic Difficulty Adjustment), which is used to dynamically adjust challenge level of opponents according to the player's skill level. The approach of DDA is based on "timeconstrained-CI". Furthermore, in order to improve the performance of Pac-Man Game AI, this paper also discusses an alternative approach, knowledge-based-CI-controlled-NPC", which creates DDA based on knowledge from DTS.

Slickline-deployed instruments are commonly used to perform measurement and service operations in oilwells. In order to accurately determine,the downhole position of a suspended instrument, a device known as an electro-mechanical casing collar locator (EMCL?',is sometimes used. The device is first lowered into a well; and then. slowly withdrawn. When a casing collar is encountered, the EMCL device causes changes in the line tension.,.These changes in line tension, which are measured at the surface, are correlated to collar locations, and hence, instrument deptti. Like many other applications, noise from different sources during slickline jobs may add contaminating noise' or cause destructive interference in the monitored of tension:signals. In this paper, a method of using an adaptive neural network to filter the tension signal to remove unwanted noise is described. A theoretical discussion and the review of results of experimental testing are presented