Artifical intelligence.

Artifical Intelligence, Expert Systems, and Archival Automation

Holmes and Evolution: Legal Process as Artifical Intelligence

ARGUMENT DIAGRAMMING IN LOGIC, LAW AND ARTIFICAL INTELLIGENCE Authors

In this paper, we present a survey of the development of the technique of argument diagramming covering not only the fields in which it originated informal logic, argumentation theory, evidence law and legal reasoning – but also more recent work in applying and developing it in computer science and artificial intelligence. Beginning with a simple example of an everyday argument, we present an a...

Stanford Artifical Intelligence Project Memoaim-167 Stan-cs-72-282 Efficient Compilation of Linear Recursive Programs

We consider the class of linear recursive programs. A linear recursive program is a set of procedures where each procedure can make at most one recursive call. The conventional stack implementation of recursion requires time and space both proportional to n, the depth of recursion. It is shown that in order to implement linear recursion so as to execute in time n one doesn't need space proporti...

KANTS: Artifical Ant System for Classification

This paper investigates a new model that takes advantage of the cooperative self-organization of Ant Algorithms to evolve a naturally inspired pattern recognition (and also clustering) method. The approach considers each data item as an ant that changes the environment as it moves through it. The algorithm is successfully applied to well-known classification problems and yields better results t...