Representing and Reasoning about Change in Geologic Interpretation.

Abstract

Geologic interpretation is the task of inferring a sequence of events to explain how a given geologic region could have been formed. This report describes the design nd implementation of one part of a geologic interpretation problem solver -- a system which uses a simulation technique called imagining to check the validity of a candidate sequence of events. Imagining uses a combination of qualitative and quantitative simulations to reason about the changes which occurred to the geologic region. The spatial changes which occur are simulated by constructing a sequence of diagrams. This quantitative simulation needs numeric parameters which are determined by using the qualitative simulation to establish the cumulative changes to an object and by using a description of the current geologic region to make quantitative measurements. The diversity of reasoning skills used in imagining has necessitated the development of multiple representations, each specialized for a different task. Representations to facilitate doing temporal, spatial and numeric reasoning are described in detail. We have also found it useful to explicitly represent processes. Both the qualitative and quantitative simulations use a discrete 'layer cake' model of geologic processes, but each uses a separate representation, specialized to support the type of simulation. These multiple representations have enabled us to develop a powerful, yet modular, system for reasoning about change. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA149279

Entities

People

  • R. G. Simmons

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computational Science
  • Computer Science
  • Geology
  • Igneous Rocks
  • Layers
  • Materials
  • Measurement
  • Metamorphic Rocks
  • Notation
  • Reasoning
  • Sea Level
  • Sedimentary Rocks
  • Simulations
  • Simulators
  • Test Methods

Readers

  • Artificial Intelligence
  • Coastal Oceanography

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference