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Modelling the Creative Processes Behind the Appreciation, Generation, and Criticism of Literature

Modelling the Creative Processes Behind the Appreciation, Generation, and Criticism of Literature
模拟文学欣赏、生成和批评背后的创作过程
批准号:
2246446
负责人:
金额:
$0.0万
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
翻译
我的研究目的是模拟参与欣赏和生成故事叙事的活跃过程,以便创造一个至少在狭窄领域内能够解释故事、创造新故事的代理,最重要的是,用自然语言评论来解释它自己的解释和创造性的决定。故事是人类认知和交流的核心,处理故事的能力将是人工智能代理人的一项重要技能,特别是与人类互动的代理人。我希望有助于理解人工代理人如何能够意识到是什么让故事有趣和结构良好;在创造新的情节时可以借用记忆中的元素;以及能够评估自己的工作。研究的焦点更多地集中在代理人的自我评价和评论上,而不是高质量的文学艺术品本身的生产上。这种关注的主要原因有三:(1)显然,创造力的核心要素之一是评估艺术品的能力,而不仅仅是创造它们的能力;(2)研究人员越来越认识到,需要更可解释的人工智能模型--解释其决策的代理人将有助于这一点;(3)一个能够自我解释的代理人将需要一定程度的自我感知,这一能力可能对未来人工一般智能和意识方面的工作很重要。我目前正试图在一个混合的符号/连接主义系统中工作,因为我认为重要的是充分利用这两种范式的优点,并产生一个可解释的模型,作为对人类智能的可能解释。
英文摘要
The aim of my research is to simulate the active processes that are involved in the appreciation and generation of story narratives in order to create an agent that can, at least within the confines of a narrow domain, interpret stories; create new stories; and, most importantly, explain its own interpretations and creative decisions in a natural language commentary. Stories are at the heart of human cognition and communication and an ability to deal in stories will be an important skill for an artificially intelligent agent, especially one that interacts with humans.I hope to contribute towards an understanding of how an artificial agent can have an awareness of what makes a story interesting and well-structured; can borrow elements from remembered episodes when creating new ones; and can evaluate its own work. The focus of research is more on the agent's self-evaluation and commentary rather that on the production of high-quality literary artifacts themselves.There are three main reasons for this focus: (1) it is clear that one of the central ingredients for creativity is an ability to evaluate artifacts, not just to produce them; (2) there is a growing recognition among researchers of a need for more explainable artificial intelligence models - an agent that explains its decision making will contribute to this; (3) an agent that explains itself will require some degree of self-perception, an ability which is likely important for future work in artificial general intelligence and consciousness.I am currently trying to work within a hybrid symbolic/connectionist system as I believe it is important to take advantage of the best of both of these paradigms and to produce a model which is interpretable and can serve as a possible explanation of human intelligence.
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