Bottom-Up Approach for Behavior Acquisition of Agents Equipped with Multi-Sensors

Provided by: International Journal on Smart Sensing and Intelligent Systems
Topic: Software
Format: PDF
While the top-down approach of artificial intelligence encounters the frame problem, the bottom-up approach based on a creature's evolution and behavior is effective for robotic design of intellectual behavior in a specific field. The authors propose the Evolutionary Behavior Table System (EBTS) using a Simple Genetic Algorithm (SGA) to acquire the autonomous cooperative behavior of multi-agents as the bottom-up approach. In EBTS, a set of rules is expressed as a table composed of sensor input columns and actuator output columns; a row of the table corresponds to a rule.

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