Commonsense reasoning about causality: deriving behavior from structure
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
SOAR: an architecture for general intelligence
Artificial Intelligence
Intelligence without representation
Artificial Intelligence
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
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The web-building behavior of orb web-building spiders is a good example for solving complex tasks of spatial orientation by iterated application of simple local behavior patterns. A spider web can be interpreted as frozen behavior that reflects the animal's interactions and modifications of its environment. To explore and modify the spatial world of digitized spider webs, we modeled the garden cross spider Araneus diadematus as a virtual spider robot. We used an object-oriented design to represent the acquisition and processing of spatial information. In our approach, local behavior patterns under supervision of a rule-based system control artificial legs and sensors. A small number of these behavior patterns were already sufficient to accurately generate the characteristics of a real spider's web. As this article will show, we validated our model by comparing geometrical web characteristics with real live spiders.