Automated modeling of complex systems to answer prediction questions

DOI10.1016/S0004-3702(96)00052-5zbMath1017.93500OpenAlexW2019837585MaRDI QIDQ1402724

Jeff Rickel, Bruce Porter

Publication date: 28 August 2003

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(96)00052-5

zbMATH Keywords

Automated modelingLarge knowledge basesReasoning about physical systems

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (5)

Addressing time-scale differences among decision-makers through model abstractions ⋮ Automated model selection for simulation based on relevance reasoning ⋮ Automated modeling of complex systems to answer prediction questions ⋮ Task-dependent qualitative domain abstraction ⋮ Towards a practical theory of reformulation for reasoning about physical systems

Uses Software

• DYNAMO

Cites Work

• Qualitative simulation
• Singular perturbations and time-scale methods in control theory: Survey 1976-1983
• Reasoning about model accuracy
• Singular perturbations and order reduction in control theory - an overview
• Causality and model abstraction
• Causal approximations
• Automated modeling of complex systems to answer prediction questions
• Stationary and nonstationary characteristics of gyro drift rate
• Aggregation of Variables in Dynamic Systems
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