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Are Blockchains and Cybercurrencies Demanding a New Legislative Framework 区块链和网络货币需要新的立法框架吗
CompSciRN: Artificial Intelligence (Topic) Pub Date : 2018-04-23 DOI: 10.17803/2618-8198.2018.01.1.013-020
Stephan U. Breu
{"title":"Are Blockchains and Cybercurrencies Demanding a New Legislative Framework","authors":"Stephan U. Breu","doi":"10.17803/2618-8198.2018.01.1.013-020","DOIUrl":"https://doi.org/10.17803/2618-8198.2018.01.1.013-020","url":null,"abstract":"The digital economy and especially Blockchain technology are opening interesting new fields for regulating and legislative authorities. Some government representatives make the mistake to look at blockchain applications mainly as underlying technology for cryptocurrency technologies. But the technology can be used far wider as a way for secure decentralized data storage. Storing data on worldwide networks makes the blockchain applications difficult to regulate as they are not residing in a specific area of influence of any given regulation or jurisdiction. Also the blockchain applications offer an extensive level of anonymity to their stakeholders. In future artificial intelligence will start to optimize the applications and trigger decisions automatically which will become a major challenge for competition and anti-trust regulators as it will be difficult to define legal entities with responsibility for the action taken. Beside building up an appropriate regulation regime the inherent challenges in blockchain technologies will ask for a strong self-regulation of the market participants in the digital marketplace.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Click Spam Prevention Model for Online Advertisement 单击“在线广告垃圾邮件预防模型”
CompSciRN: Artificial Intelligence (Topic) Pub Date : 2018-01-27 DOI: 10.5121/ijnsa.2018.10101
N. Zingirian, M. Benini
{"title":"Click Spam Prevention Model for Online Advertisement","authors":"N. Zingirian, M. Benini","doi":"10.5121/ijnsa.2018.10101","DOIUrl":"https://doi.org/10.5121/ijnsa.2018.10101","url":null,"abstract":"This paper shows a vulnerability of the pay-per-click accounting of Google Ads and proposes a statistical tradeoff-based approach to manage this vulnerability. The result of this paper is a model to calculate the overhead cost per click necessary to protect the subscribers and a simple algorithm to implement this protection. Simulations validate the correctness of the model and the economical applicability.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124123216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Investigating Limit Order Book Features for Short-Term Price Prediction: A Machine Learning Approach 研究短期价格预测的限价订单特征:一种机器学习方法
CompSciRN: Artificial Intelligence (Topic) Pub Date : 2018-01-09 DOI: 10.2139/ssrn.3305277
Faisal I. Qureshi
{"title":"Investigating Limit Order Book Features for Short-Term Price Prediction: A Machine Learning Approach","authors":"Faisal I. Qureshi","doi":"10.2139/ssrn.3305277","DOIUrl":"https://doi.org/10.2139/ssrn.3305277","url":null,"abstract":"With the proliferation of algorithmic high-frequency trading in financial markets, the Limit Order Book has generated increased research interest. Research is still at an early stage and there is much we do not understand about the dynamics of Limit Order Books. In this paper, we employ a machine learning approach to investigate Limit Order Book features and their potential to predict short term price movements. This is an initial broad-based investigation that results in some novel observations about LOB dynamics and identifies several promising directions for further research. Furthermore, we obtain prediction results that are significantly superior to a baseline predictor.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126094654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Exploring Signals for Investing in an Initial Coin Offering (ICO) 探索投资首次代币发行(ICO)的信号
CompSciRN: Artificial Intelligence (Topic) Pub Date : 2017-09-01 DOI: 10.2139/ssrn.3037106
Mohit Yadav
{"title":"Exploring Signals for Investing in an Initial Coin Offering (ICO)","authors":"Mohit Yadav","doi":"10.2139/ssrn.3037106","DOIUrl":"https://doi.org/10.2139/ssrn.3037106","url":null,"abstract":"This paper shares findings from an exploratory research project investigating the investment signals for an Initial Coin Offering.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133901011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 35
Lbl - Lstm : Log Bilinear And Long Short Term Memory Based Efficient Stock Forecasting Model Considering External Fluctuating Factor Lbl - Lstm:考虑外部波动因素的对数双线性长短期记忆高效股票预测模型
CompSciRN: Artificial Intelligence (Topic) Pub Date : 1900-01-01 DOI: 10.35940/ijeat.d8680.049420
U. Gurav, D. S. Kotrappa
{"title":"Lbl - Lstm : Log Bilinear And Long Short Term Memory Based Efficient Stock Forecasting Model Considering External Fluctuating Factor","authors":"U. Gurav, D. S. Kotrappa","doi":"10.35940/ijeat.d8680.049420","DOIUrl":"https://doi.org/10.35940/ijeat.d8680.049420","url":null,"abstract":"Stock market prediction problem is considered to be NP-hard problem because of highly volatile nature of stock market. In this paper, effort has been made to design efficient stock forecasting model using log Bilinear and long short term memory (LBL-LSTM) considering external fluctuating factor such as varying Bank's lending rates. The external factor bank's lending rates affects stock market performance ,as it plays vital role for the purchase of stocks in case of financial crisis faced by various business enterprises. Proposed LBL-LSTM based model shows performance improvement over existing machine learning algorithms used for stock market prediction.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Artificial Intelligence as a Challenge to Society and Education: Global Youth at Digital Trajectories in the Anthropocene 人工智能对社会和教育的挑战:全球青年在人类世的数字轨迹
CompSciRN: Artificial Intelligence (Topic) Pub Date : 1900-01-01 DOI: 10.2139/ssrn.3707336
C. Wulf
{"title":"Artificial Intelligence as a Challenge to Society and Education: Global Youth at Digital Trajectories in the Anthropocene","authors":"C. Wulf","doi":"10.2139/ssrn.3707336","DOIUrl":"https://doi.org/10.2139/ssrn.3707336","url":null,"abstract":"This contribution covers four aspects of the topic. First, I would like to develop some anthropological reflections on the understanding of digital culture and show how comprehensively digital culture determines our self-image. Then I would like to present key findings on how young people deal with digital culture in seven countries. The results show how strongly the environment of young people is determined by digital culture and artificial intelligence. I shall also show how important learning machines or robots are in key areas of society and what developments looming here. Finally, I would like to examine the extent to which there is an inherent dynamism of digital culture and learning machines connected with the dynamics of industrialization and globalization in the Anthropocene, which is always about acceleration, control and the optimization of rational processes. Then I would like to raise the question whether learning machines, “deep learning”, artificial intelligence and digital culture can contribute to a less violent relationship of man to nature, to the other and to oneself and promoting education for sustainable development. With a focus on artificial intelligence to correct the global aberrations of the Anthropocene, numerous new anthropological and ethical issues are raised.","PeriodicalId":241211,"journal":{"name":"CompSciRN: Artificial Intelligence (Topic)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115664412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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