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Author Wu, Qiong ♦ Miao, Chunyan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Human curiosity ♦ Computational curiosity ♦ Curious agents ♦ Curious learning ♦ Curious robots
Abstract Literature in psychology has shown that curiosity is the intrinsic motivation for exploration, learning, and creativity. Various forms of computational curiosity have been developed to provide artificial beings with desirable functions, such as detecting and adapting to novel inputs, making decisions related to aesthetics, and achieving pedagogical purposes. This article reviews existing models of computational curiosity in light of psychological theories that are beneficial to building models of human cognition and designing human-like agents. We first study theories in psychology to shed light on the underpinnings of human curiosity, where a two-step process is proposed to serve as a general model for analyzing curiosity. Subsequently, existing models of computational curiosity are reviewed under the proposed framework. We conclude the review by identifying 4 key research issues in computational curiosity and 10 important research areas where computational curiosity could bring significant impact.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-12-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 46
Issue Number 2
Page Count 26
Starting Page 1
Ending Page 26

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Source: ACM Digital Library