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Updated: Jun 5, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
Published on: February 6, 2020
Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior
1Computer Science Department and Neuroscience Program, University of Southern California, 941 West 37th Place, SAL 228, Los Angeles, CA 90089-0781, USA.
Abstract:
Work in behavior-based systems focuses on functional modeling, that is, the synthesis of life-like and/or biologically inspired behavior that is robust, repeatable and adaptive. Inspiration from cognitive science, neuroscience and biology drives the development of new methods and models in behavior-based robotics, and the results tie together several related fields including artificial life, evolutionary computation, and multi-agent systems. Ideas from artificial intelligence and engineering continue to be explored actively and applied to behavior-based robots as their role in animal modeling and practical applications is being developed.
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