- author = "Mark Boslough and Michael Peters and Arthurine Pierson",
- title = "Graduated Embodiment for Sophisticated Agent Evolution and Optimization",
- institution = "Sandia National Laboratories",
- year = "2005",
- number = "SAND2005-0014",
- address = "P.O. Box 5800, Albuquerque, NM 87185-0318, USA",
- month = jan,
- keywords = "genetic algorithms, genetic programming, Algorithms Design, Evaluation, Genetics, Hypothesis, Navigation, Optimization, Programming Robots, Simulation, Training, Intelligent agents (Computer software), Robots-Control systems, Evolutionary programming (Computer science)",
-
URL = "
https://www.sandia.gov/research/publications/details/graduated-embodiment-for-sophisticated-agent-evolution-and-optimization-2005-01-01/",
-
URL = "
http://www.cs.sandia.gov/web1433/pubsagent/Graduated_Embodiment.pdf",
-
DOI = "
doi:10.2172/921610",
- size = "53 pages",
- abstract = "We summarise the results of a project to develop evolutionary computing methods for the design of behaviours of embodied agents in the form of autonomous vehicles. We conceived and implemented a strategy called graduated embodiment. This method allows high-level behavior algorithms to be developed using genetic programming methods in a low-fidelity, disembodied modelling environment for migration to high-fidelity, complex embodied applications. This project applies our methods to the problem domain of robot navigation using adaptive waypoints, which allow navigation behaviors to be ported among autonomous mobile robots with different degrees of embodiment, using incremental adaptation and staged optimisation. Our approach to biomimetic behaviour engineering is a hybrid of human design and artificial evolution, with the application of evolutionary computing in stages to preserve building blocks and limit search space. The methods and tools developed for this project are directly applicable to other agent-based modeling needs, including climate-related conflict analysis, multiplayer training methods,and market-based hypothesis evaluation.",
-
notes = "Unlimited Release
Mark Boslough Michael Peters Evolutionary Computing & Agent Based Modeling Department
Arthurine Pierson Intelligent Systems Principles Department",
