Discovery as autonomous learning from the environment

  • Shen W
N/ACitations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Discovery involves collaboration among many intelligent activities.However, little is known about how and in what form such collaborationoccurs. In this paper, a framework is proposed for autonomous systemsthat learn and discover from their environment. Within this framework,many intelligent activities such as perception, action, exploration,experimentation, learning, problem solving, and new term constructioncan be integrated in a coherent way. The framework is presentedin detail through an implemented system called LIVE, and is evaluatedthrough the performance of LIVE on several discovery tasks. Theconclusion is that autonomous learning from the environment is afeasible approach for integrating the activities involved in a discoveryprocess.

Cite

CITATION STYLE

APA

Shen, W.-M. (1993). Discovery as autonomous learning from the environment. Machine Learning, 12(1–3), 143–165. https://doi.org/10.1007/bf00993064

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free