Most artificial intelligence research investigates intelligent behavior for a single agent--
solving problems heuristically, understanding natural language, and so on. Distributed …

This paper presents a qualitative-reasoning method for predicting the behavior of
mechanisms characterized by continuous, time-varying parameters. The structure of a …

This volume brings together current work on qualitative reasoning. Previous publication has
been primarily in scattered conference proceedings. The appearance of this volume reflects …

What are the powerful new ideas in knowledge based design? What important research
issues require further investigation? Perhaps the key research problem in AI-based design …

This book is designed for those in and outside computer science, who wish to learn about
the first generation of expert systems techniques and working programs. Seven chapters …

One of the biggest problems in AT programming is the difficulty of specifying control. Meta-
level architecture is a knowledge engineering approach to coping with this difficulty. The key …

This paper describes a device-independent diagnostic program called dart. dart differs from
previous approaches to diagnosis taken in the Artificial Intelligence community in that it …

ABSTRACT A broad range of heuristic programs-embracing forms of diagnosis, catalog
selection, and skeletal planning-accomplish a kind of wellstructured problem solving called …

A method and system for patient generation and evolution for a computer-based testing
system and/or expert system. One or more belief networks, which describe parallel health …

Many expert systems have moved out of development laboratories into field test and routine
use. About sixty such systems are listed. Academic research laboratories are contributing …