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o conclude this book, we will examine a topic from an interesting discipline of programming: artificial intelligence (AI) As explained earlier, the goal of this book is to show the richness and power of the Java language Perhaps nothing demonstrates that better than its application to the demanding realm of artificial intelligence Java s powerful string-handling capabilities and Stack class streamline many types of AI-based code Java s object model keeps the code clean, as does its garbage collection facility As this final chapter shows, Java is a language well suited to the AI developer The field of artificial intelligence is comprised of several fascinating areas, but fundamental to many AI-based applications is problem solving Essentially, there are two types of problems.

The first type can be solved through the use of some sort of deterministic procedure that is guaranteed success, such as the computation of the sine of an angle or the square root of a value These types of problems are easily translated into algorithms that a computer can execute In the real world, however, few problems lend themselves to such straightforward solutions Instead, many problems can be solved only by searching for a solution It is this type of problem solving with which AI is concerned It is also the type of searching that is explored in this chapter To understand why searching is so important to AI, consider the following One of the early goals of AI research was the creation of a general problem solver.

to the housing by set screws. (Ilco Unican Corp.)

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At this point, some of you may be thinking that this was an unfair comparison, as the keyboard would obviously have been the best way for the computer user to interact with this survey by pressing Y for yes and N for no That s just the kind of logic-driven, computer-geek thinking that must be put aside when designing UI for the iPhone Shortcuts are nice, but the average computer user can barely remember the keyboard shortcuts for copy and paste, much less the long list of shortcuts available for most modern applications To use the keyboard in the survey scenario, the users would first have to be told to press Y for yes and N for no Each time a question was asked, they would have to make the proper decision and then think press Y for yes and N for no before pressing the proper key.

A general problem solver is a program that can produce solutions to all sorts of different problems about which it has no specific, designed-in knowledge It is an understatement to say that such a program would be highly desirable Unfortunately, a general problem solver is as difficult to realize as it is tantalizing One complication is the sheer size and complexity of many real-world situations Because a general problem solver must search for a solution through what might be a very large, mazelike universe of possibilities, finding ways to search such an environment is a priority Although we won t attempt something as ambitious as a general problem solver in this chapter, we will explore several AI-based search techniques that are applicable to a wide variety of problems..

Figure 21.18 The carriage stop adjusting screw is set at the factory. (Ilco Unican Corp.)

Imagine that you have lost your car keys. You know that they are somewhere in your house, which looks like this:

Eventually, the user would be accustomed to the interaction and become more efficient But that s why the mouse was so revolutionary in its time and why the multitouch interface is an even bigger leap: each smoothes out the learning curve and mitigates steps from thought to outcome A physical keyboard can be quite efficient in the positioning and action phase (if the user is a touch typist), but the time it takes to identify the proper action is where the slowdown occurs The user must first learn the commands and then remember and properly execute them.

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