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Knowledge-based design of artificial worlds.
1Department of Electrical and Computer Engineering, University of Arizona, Tucson 85721.
Bio Systems
|January 1, 1989
Summary
This study explores knowledge representation and simulation methods for creating artificial worlds, like self-sufficient habitats. An object-oriented environment and a model example showcase the approach's potential for computer-based exploration.
Area of Science:
- Computer Science
- Artificial Intelligence
- Simulation Modeling
Background:
- Knowledge representation is crucial for defining complex systems.
- Simulation methodology enables the exploration of hypothetical scenarios.
- Object-oriented programming offers a robust framework for complex system modeling.
Purpose of the Study:
- To review knowledge representation and simulation methodologies.
- To introduce an object-oriented computer environment for simulation.
- To demonstrate the utility of the approach with an artificial world model.
Main Methods:
- Review of knowledge representation concepts.
- Discussion of simulation methodology principles.
- Description of an object-oriented simulation environment.
- Development of a simplified artificial world model.
Main Results:
- The reviewed methodologies facilitate computer-based exploration of alternative worlds.
- The object-oriented environment supports complex simulation studies.
- The example model illustrates the power and applicability of the approach.
Conclusions:
- Knowledge representation and simulation are powerful tools for exploring artificial worlds.
- Object-oriented environments provide an effective platform for such simulations.
- This approach enables the study of complex systems like self-sufficient habitats.