By Anne von der Lieth Gardner
Legislation and criminal reasoning are a common objective for synthetic intelligence structures. Like clinical prognosis and different initiatives for specialist structures, felony research is an issue of examining information by way of higher-level techniques. yet in legislations the knowledge are extra like these for a approach aimed toward figuring out common language: they inform a narrative approximately human occasions that could result in a lawsuit. Statements of the legislations, too, are written in usual language and felony arguments are usually arguments approximately what that language capability or should suggest. This examine is likely one of the few examine efforts during this fertile quarter. it truly is distinct in constructing a computational version for interpreting criminal difficulties in a fashion that brings those strands of AI study jointly and is sensible from a jurisprudential viewpoint to boot. Gardner first analyzes numerous positions in Anglo-American jurisprudence and their relevance for paintings in man made intelligence. She identifies elements of criminal reasoning that any really specialist procedure in legislations needs to make a spot for and indicates a fashion of decomposing the method of criminal research that takes those elements into consideration. She compares the ensuing framework with these utilized by different felony research courses. an outstanding exposition of present AI thoughts follows in chapters masking the author's process (written in Maclisp) for supply and attractiveness difficulties, taken from legislation examinations, curious about agreement legislation. Anne von der Lieth Gardner has a legislation measure and a Ph.D. in computing device technology, either from Stanford collage. a man-made Intelligence method of felony Reasoning inaugurates the sequence man made Intelligence and the legislations: tactics and versions of criminal Reasoning, edited via L. Thorne McCarty and Edwina L. Rissland. A Bradford e-book.
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Extra resources for An Artificial Intelligence Approach to Legal Reasoning
25 4 Using Lists and Backgrounds . . . . . . . . . . 47 5 Creating Hyperlinks and Anchors . . . . . . . . 67 1 Chapter at a G ance Open a Web page n Notepad, page 2 Prev ew a Web page n Internet Exp orer, page 7 Make, save, and v ew changes, page 10 1 Editing and Viewing HTML Files In this chapter, you will learn how to 4 Open a Web page in Notepad. 4 Preview a Web page in Internet Explorer. 4 Make, save, and view changes. As you work through this book’s exercises, you’ll learn HTML by creating and editing text files in Notepad, and then viewing them in a Web browser to check your work.
For example, in Internet Explorer (and most other browsers),
is leftaligned, 18-point Times New Roman. Most browsers use the same defaults for the very basic tags, but non-standard browsers, such as those on phones, often display text differently. ●● Individual user customization A user can customize his Web browser to suit his preferences. Later in this chapter, you’ll get to play with these settings in Internet Explorer so you’ll know what your potential audience might be doing. Keep in mind as you practice using tags that their formatting is not fixed.
One way to get around this is to right-click a file in Windows Explorer, choose Open With from the contextual menu, and then click Notepad. This opens Notepad and loads the file. Previewing a Web Page in a Web Browser Because Notepad is not a WYSIWYG (“What You See Is What You Get”) program, you won’t be able to immediately see how the tags you type will affect the finished product. To work around this, most Web page designers keep a browser window open next to Notepad. You can preview your work in any browser; you do not need to use Internet Explorer 9 (although that’s what I use in this book’s examples).
An Artificial Intelligence Approach to Legal Reasoning by Anne von der Lieth Gardner