Integrating multiple representations for incremental, causal simulation - Robotics Institute Carnegie Mellon University

Integrating multiple representations for incremental, causal simulation

Conference Paper, Proceedings of 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems (AIHAS '91), pp. 88 - 96, April, 1991

Abstract

Many engineering problems require the ability to answer 'what if' questions about the effects of complex physical events. To address such problems, the author has implemented MIDAS, a system that can incrementally simulate events and produce causal explanations describing their effects. MIDAS incorporates an explicit causal model of time, change, and persistence. It integrates multiple specialized representations using a truth maintenance system that records belief justifications and enables incremental assertion and retraction of beliefs. MIDAS has been tested in several complex domains, including geology and semiconductor fabrication.

BibTeX

@conference{Simmons-1991-122335,
author = {R. G. Simmons},
title = {Integrating multiple representations for incremental, causal simulation},
booktitle = {Proceedings of 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems (AIHAS '91)},
year = {1991},
month = {April},
pages = {88 - 96},
}