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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2021 Vol.22 No.5 P.619-624
Visual knowledge: an attempt to explore machine creativity
Abstract: One question that has long puzzled the artificial intelligence (AI) community is: Can AI be creative? Or, can the reasoning process be creative? Starting at noetic science, this paper discusses the issues of visual knowledge representation and its potential applications to machine creativity. In this paper, we enumerate related research on imagery-thinking-based reasoning, then focus on a special type of visual knowledge representation, i.e., visual scene graph, and finally review the problem of visual scene graph construction and its potential applications in detail. All the evidence suggests that visual knowledge and visual thinking not only can improve the performance of current AI tasks but can be used in the practice of machine creativity.
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浙江大学计算机科学与技术学院人工智能研究所，中国杭州市，310027
概要：长期以来困扰人工智能领域的一个问题是：人工智能是否具有创造力，或者说，算法的推理过程是否可以具有创造性。本文从思维科学的角度探讨人工智能创造力的问题。首先，列举形象思维推理的相关研究；然后，重点介绍一种特殊的视觉知识表示形式，即视觉场景图；最后，详细介绍视觉场景图构造问题与潜在应用。所有证据表明，视觉知识和视觉思维不仅可以改善当前人工智能任务的性能，而且可以用于机器创造力的实践。
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Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/FITEE.2100116
CLC number:
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On-line Access:
2021-05-17
Received:
2021-03-03
Revision Accepted:
2021-04-21
Crosschecked:
2021-04-29