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.
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© 1986 Kluwer Academic Publishers
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Carbonell, J., Hood, G. (1986). The World Modelers Project: Objectives and Simulator Architecture. In: Machine Learning. The Kluwer International Series in Engineering and Computer Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2279-5_7
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DOI: https://doi.org/10.1007/978-1-4613-2279-5_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9406-1
Online ISBN: 978-1-4613-2279-5
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