Hypothesis Formation and Qualitative Reasoning in Molecular Biology

Abstract

This dissertation investigates scientific reasoning from a computational perspective. The investigation focuses on a program of research in molecular biology that culminated in the discovery of a new mechanism of gene regulation in bacteria, called attenuation. The dissertation concentrates on a particular type of reasoning called hypothesis formation. Hypothesis-formation problems occur when the outcome of an experiment predicted by a scientific theory does not match that observed by a scientist. I present methods for solving hypothesis formation problems that have been implemented in a computer program called HYPGENE. This work is also concerned with how to represent theories of molecular biology in a computer, and with how to use such theories to predict experimental outcomes; I present a framework for performing these tasks that is implemented in a program called GENSIM. I tested both HYPGENE and GENSIM on sample problems that biologists solved during their research on attenuation. The dissertation includes a historical study of the attenuation research. THis study is novel because it examines a large, complex, and modern program of scientific research. The document treats hypothesis formation as a design problem, and uses design methods to solve hypothesis-formation problems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1989
Accession Number
ADA219003

Entities

People

  • Peter D. Karp

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Chemical Compounds
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Debugging
  • Dna Sequence Analysis
  • Genetic Code
  • Genetic Structures
  • Genetics
  • Rna Stability

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.
  • Research Science/Academic Research