ISSN:
0885-6125
Keywords:
Machine discovery
;
autonomous learning
;
learning from the environment
;
constructive induction
;
exploration and experiments
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract Discovery involves collaboration among many intelligent activities. However, little is known about how and in what form such collaboration occurs. In this article, a framework is proposed for autonomous systems that learn and discover from their environment. Within this framework, many intelligent activities such as perception, action, exploration, experimentation, learning, problem solving, and new term construction can be integrated in a coherent way. The framework is presented in detail through an implemented system called LIVE, and is evaluated through the performance of LIVE on several discovery tasks. The conclusion is that autonomous learning from the environment is a feasible approach for integrating the activities involved in a discovery process.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1022827618816
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