Abstract
: : Behavior-Based AI Techniques for Vehicle Control
In behavior-based artificial intelligence (AI), intelligence is realized as an emergent process which arises
from interactions between otherwise "unintelligent" simple behaviors of agents and between these agents
and their environment. This is a drastic departure from the more conventional notions of AI based on codified
knowledge structure and its interpretation in a Cartesian manner. Behavior-based AI has previously demonstrated
greater potential as a candidate for a control strategy for intelligent autonomous vehicles. A set of algorithms
which uses Subsumption Architecture (SA) for controlling vehicles operating in close vicinity has been developed.
SA is a dominant Behavior-based AI technique. The algorithms collectively generate desirable manoeuvre
capabilities for vehicles which must travel through a dynamic interactive environment.
This paper describes a successful application of the approach to a small-scale but fully situated and embodied
vehicle control problem using scaled down mobile robots.
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