Artificial Intelligence Markup Language: A Brief Tutorial

Artificial Intelligence MArkup Language: A Brief Tutorial

The purpose of this paper is to serve as a reference guide for the development of chatterbots implemented with the AIML language. In order to achieve this, the main concepts in Pattern Recognition area are described because the AIML uses such theoretical framework in their syntactic and semantic structures. After that, AIML language is described and each AIML command/tag is followed by an appli...

A Short Tutorial of the Scenario Markup Language

We present the Scenario Markup Language (SML), a practical language for authoring realistic traffic situations. This effort is part of a novel framework for conducting controlled driving behavior studies based on multiuser networked 3D virtual environments. SML facilitates the scripting of traffic scenarios for behavioral driver studies in networked multi-user online 3D virtual environments.

A (Very) Brief History of Artificial Intelligence

telligence are traced to philosophy, fiction, and imagination. Early inventions in electronics, engineering, and many other disciplines have influenced AI. Some early milestones include work in problems solving which included basic work in learning, knowledge representation, and inference as well as demonstration programs in language understanding, translation, theorem proving, associative memo...

Overview and Tutorial on Artificial Intelligence Systems

Business Intelligence 2.0: The eXtensible Markup Language as Strategic Enabler

Business Intelligence 2.0 is an umbrella term used to refer to a collection of tools that help organizations extend their BI capabilities using Internet platforms. BI 2.0 tools can enable the automatic discovery of distributed software services and data stores, greatly increasing the range of market options for an organization. The development cycle for these tools is still in its early stage, ...