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The World Modelers Project: Objectives and Simulator Architecture

  • Jaime Carbonell
  • Greg Hood
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 12)

Abstract

Machine learning has long sought to construct complete, autonomous learning systems that start with general inference rules and learning techniques, and gradually acquire complex skills and knowledge through continuous interaction with an information-rich external environment [59]. The World Modelers project provides a simplified artificial environment — a continuous three-dimensional physical model of the world — to facilitate the design, implementation and testing of integrated learning systems. Thus, the world simulator can be viewed as a tool that enables researchers to investigate significant intermediate steps between the single-function learning systems of today (systems largely incapable of multi-task learning, attention focusing, experiment formulation, etc.) and the real-world autonomous learning robot of tomorrow.

Keywords

Learning System Change Request Autonomous Learning Simulated World Simulator Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1986

Authors and Affiliations

  • Jaime Carbonell
    • 1
  • Greg Hood
    • 1
  1. 1.Department of Computer ScienceCarnegie-Mellon UniversityPittsburghUSA

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