Correction to: Evaluating representational systems in artificial intelligence

Licato, John; Zhang, Zhitian

doi:10.1007/s10462-017-9606-y

Cited by 12 publications

(8 citation statements)

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“…In the process of music generation, notes are affected by context information to different degrees, and this cannot be flexibly realized only by the structure of recurrent neural network. erefore, the self-attention mechanism is introduced to focus on the important information in the context and ignore the secondary information, which makes the note generation more reasonable and accurate [17]. By adding a self-attention mechanism, the internal dependency features of the note sequence can be deeply explored by automatically assigning different probability weights to the note features in the context.…”

Section: Raw Midi File Note Information Matrixmentioning

confidence: 99%

Practical Exploration on the Construction of Theoretical Courses of Composition Technology in the Age of Artificial Intelligence

Luo

2022

Mobile Information Systems

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The theory of composition technology is to study the basic knowledge and skills of musicology, instrumental music, composition, and composition technology, including harmony, polyphony, musical form, orchestration, and so on, and then to analyze, create, and edit music. The current theory of composition technology has resulted in the phenomenon of relatively single form. The current method is the traditional way of composing music through the creation of composers. The defect is that various elements cannot be integrated together, and the meaning of music cannot be perfectly presented. In order to solve these problems, this paper proposes the use of recurrent neural network algorithm and backpropagation algorithm in artificial intelligence algorithm. It aims to study how to innovatively integrate the composition technology theory course with the current network technology. And it utilizes recurrent neural networks in artificial intelligence to help design part of the analysis of musical characteristics, through the evaluation of the music effect generated by automatic composition. The results show that the accuracy of note prediction obtained by the automatic composition method on the basis of objective evaluation is 81.93%, 90.15%, and 92.62%, respectively, on Top1, Top2, and Top3, which basically meet the current basic requirements for composition technology theory.

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Section: Raw Midi File Note Information Matrixmentioning

confidence: 99%

Practical Exploration on the Construction of Theoretical Courses of Composition Technology in the Age of Artificial Intelligence

Luo

2022

Mobile Information Systems

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“…Landscape Using AI [12]. e villages in the cultural landscape heritage area are an important part of the cultural landscape [13,14].…”

Section: Construction Of Traditional Village Culturalmentioning

confidence: 99%

Artificial Intelligence in the Protection and Inheritance of Cultural Landscape Heritage in Traditional Village

Wang

2022

Scientific Programming

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To continue to protect and inherit the cultural landscape heritage of traditional villages, starting from the perspective of artificial intelligence (AI), literature review methods are used, and related theories are collected. Then, Wuyuan County in Jiangxi Province in the traditional villages is taken as the research object. By analyzing the tourism income of this place from 2016 to 2020, the overall income of this county is relatively good. In fact, due to the weak protection of traditional villages in Wuyuan County, the lack of supervision awareness, the implementation of the “immigrant and relocation” policy, and the backward thinking of residents, the cultural landscape of traditional villages has collapsed and destroyed. Up to now, there are 113 ancient ancestral temples, 28 ancient mansion houses, 36 ancient private houses, 187 ancient bridges, and only 12 ancient villages. Finally, AI technology is applied to the cultural landscape of traditional villages. Through image restoration technology, traditional villages can be restored to a certain extent. Intelligent positioning and radio frequency (RF) technology can also realize real-time monitoring of traditional villages from the perspective of weather and service life to achieve the purpose of protecting cultural landscape heritage. Therefore, AI technology is applied in the protection and inheritance of traditional village cultural landscape heritage, which has great reference significance for the management of various historical and cultural heritage.

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“…For this reason, the above definitions are referred to as the "OO-inspired framework". 11 For some representational system R, the set of all possible representations it can produce (all possible ways to instantiate the class × all possible semiotic functions) is written R * , called R's "representational space". For convenience we write R ∈ R * when a representation R consists of an R inst and sem in the space defined by RS R.…”

Section: Definition 22 (Representation)mentioning

confidence: 99%

“…Although loopholes may be possible in every possible formalization, the lesson for AI researchers and policymakers is that more effort needs to be placed into (1) giving our autonomous reasoners the ability to reason about the rules they are given, and (2) finding ways to anticipate and close loopholes. Our lab is working on (1) through our project on active formalization, 11 but in this paper we will restrict our focus to our efforts addressing (2). As we will describe in Section 3, we believe it is possible to develop automated reasoning tools to assist in closing loopholes for any given formalization, by developing artificial reasoning systems capable of carrying out the loophole task, which we can attempt to define as follows: Definition 1.1 (The Loophole Task).…”

Section: Introduction: Why Loopholes Matter To Ethicsmentioning

confidence: 99%

Probing formal/informal misalignment with the loophole task

2018

Hybrid Worlds: Societal and Ethical Challenges

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Any autonomous agent deployed with some representation of rules to follow will face scenarios where the applicability of its given rules are not clear. In such scenarios, a malicious agent might successfully argue that some action which clearly goes against the spirit of the rules is allowed, under a strict interpretation of the rules. We argue that the task of finding such actions, which we call the loophole task, must be solved to some degree by an autonomous ethical agent, and thus is important for robot ethical standards. Currently, no artificially intelligent system comes close to solving the loophole task. We define this task, by characterizing it as exploiting a misalignment between informal and formal representational systems, and discuss our preliminary work towards creating an automated reasoner capable of solving it.

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Correction to: Evaluating representational systems in artificial intelligence

Cited by 12 publications

References 0 publications

Practical Exploration on the Construction of Theoretical Courses of Composition Technology in the Age of Artificial Intelligence

Practical Exploration on the Construction of Theoretical Courses of Composition Technology in the Age of Artificial Intelligence

Artificial Intelligence in the Protection and Inheritance of Cultural Landscape Heritage in Traditional Village

Probing formal/informal misalignment with the loophole task

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