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Articles 2521 - 2550 of 23255
Full-Text Articles in Entire DC Network
Of Light And Shadows: Buddhism, Cinema, And The Question Of Diffused Religion In Modern China, Teng-Kuan Ng
Of Light And Shadows: Buddhism, Cinema, And The Question Of Diffused Religion In Modern China, Teng-Kuan Ng
Research Collection College of Integrative Studies
While the scholarship on premodern Chinese Buddhism has explored the tradition’s rich diffusion throughout various realms of sociocultural life, the study of modern Chinese Buddhism leans heavily towards its monastic, institutional, and overtly “religious” forms. This split mirrors the logic of modern secularization, whereby religion should be rationally differentiated from the broader social fabric, institutionalized, and delimited within its own discrete functional sphere. This article rethinks the putative rupture between Chinese Buddhism’s past and present incarnations. Through the prism of cinema, a technology that arrived on Chinese shores at the same moment as the Western concept of religion, I illuminate …
Accounting For The Eu Green Taxonomy: Exploring Its Concept, Data And Analytics, Lucia Alessi, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Giovanna Michelon
Accounting For The Eu Green Taxonomy: Exploring Its Concept, Data And Analytics, Lucia Alessi, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Giovanna Michelon
Research Collection College of Integrative Studies
The European Union's Green Taxonomy has been used by corporations to account for and disclose hundreds of billions of Euros in capital expenditures. The aim of the taxonomy is to set a common and clear definition about which economic activities are most needed for the transition to a low-carbon economy, in line with the objectives of the European Green Deal. It is essential that academic research explores (a) to what extent the taxonomy is clearly understood, (b) if it impacts financial, environmental and societal outcomes, and (c) how it can be advanced. We review the nascent literature on this new …
Evaluating Urban Fire Vulnerability And Accessibility To Fire Stations And Hospitals In Austin, Texas, Akhil Mandalapu, Kijin Seong, Junfeng Jiao
Evaluating Urban Fire Vulnerability And Accessibility To Fire Stations And Hospitals In Austin, Texas, Akhil Mandalapu, Kijin Seong, Junfeng Jiao
Research Collection College of Integrative Studies
Anthropogenic climate change has increased the frequency and intensity of fires. Despite their widespread consequences, current research has largely overlooked urban fires and their associated vulnerability. This study seeks to identify patterns of fire vulnerability, map out areas with high fire vulnerability and limited access to fire stations and hospitals, and ultimately determine the factors contributing to increased fire incidents. Principal Component Analysis was used to develop a fire vulnerability index comprising variables capturing health status and socio-environmental factors. Enhanced 2-step floating catchment area (E2SFCA) analysis was conducted to determine relative accessibility to resources such as hospitals and fire stations. …
Transformer Models With Explainability For It Telemetry And Business Events, Shiau Hong Lim, Laura Wynter
Transformer Models With Explainability For It Telemetry And Business Events, Shiau Hong Lim, Laura Wynter
Research Collection School Of Computing and Information Systems
Temporal event data are commonly encountered in software applications across a wide range of domains, from IT telemetry and system logs to business process automation. Temporal event data in software applications carry information in various forms: both structured and unstructured, and with both regular and irregular occurrence frequency, making the representation of temporal event data challenging. Further chal-lenges come from the diversity in terms of the scale and volume of events that need to be summarized by the representation. We propose a general and unified approach to handle temporal event data for the purpose of learning a predictive transformer model. …
Reproducibility Debt: Challenges And Future Pathways, Zara Hassan, Christoph Treude, Michael Norrish, Graham Williams, Alex Potanin
Reproducibility Debt: Challenges And Future Pathways, Zara Hassan, Christoph Treude, Michael Norrish, Graham Williams, Alex Potanin
Research Collection School Of Computing and Information Systems
Reproducibility of scientic computation is a critical factor in validating its underlying process, but it is often elusive. Complexity and continuous evolution in software systems have introduced new challenges for reproducibility across a myriad of computational sciences, resulting in growing debt. This requires a comprehensive domain-agnostic study to dene and asses Reproducibility Debt (RpD) in scientic software, thus uncovering and classifying all underlying factors attributed towards its emergence and identication i.e., causes and eects. Moreover, an organised map of prevention strategies is imperative to guide researchers for its proactive management. This vision paper highlights the challenges that hinder eective management …
Generalization Analysis Of Deep Nonlinear Matrix Completion, Antoine Ledent, Rodrigo Alves
Generalization Analysis Of Deep Nonlinear Matrix Completion, Antoine Ledent, Rodrigo Alves
Research Collection School Of Computing and Information Systems
We provide generalization bounds for matrix completion with Schatten $p$ quasi-norm constraints, which is equivalent to deep matrix factorization with Frobenius constraints. In the uniform sampling regime, the sample complexity scales like $\widetilde{O}\left( rn\right)$ where $n$ is the size of the matrix and $r$ is a constraint of the same order as the ground truth rank in the isotropic case. In the distribution-free setting, the bounds scale as $\widetilde{O}\left(r^{1-\frac{p}{2}}n^{1+\frac{p}{2}}\right)$, which reduces to the familiar $\sqrt{r}n^{\frac{3}{2}}$ for $p=1$. Furthermore, we provide an analogue of the weighted trace norm for this setting which brings the sample complexity down to $\widetilde{O}(nr)$ in all …
Secure And Flexible Wildcard Queries, Qing Wang, Donghui Hu, Meng Li, Guomin Yang
Secure And Flexible Wildcard Queries, Qing Wang, Donghui Hu, Meng Li, Guomin Yang
Research Collection School Of Computing and Information Systems
Wildcard Keyword Searchable Encryption (WKSE) enables users to search desired encrypted files with wildcard queries. Previous schemes only enabled single-character wildcard queries or restricted multi-character wildcard queries. Even if the two types of queries are supported by several schemes, they are vulnerable to correlation attacks and composition attacks. In this paper, we propose a WKSE scheme Secure Flexible Wildcard Queries (SFWQ) that supports highly flexible wildcard queries and resists correlation and composition attacks. Specifically, we adopt the interval matching method instead of traditional position matching, so that SFWQ supports a variety of queries, including single-character wildcard queries, multi-character wildcard queries, …
Evilscreen Attack: Smart Tv Hijacking Via Multi-Channel Remote Control Mimicry, Yiwei Zhang, Siqi Ma, Tiancheng Chen, Juanru Li, Robert H. Deng, Elisa Bertino
Evilscreen Attack: Smart Tv Hijacking Via Multi-Channel Remote Control Mimicry, Yiwei Zhang, Siqi Ma, Tiancheng Chen, Juanru Li, Robert H. Deng, Elisa Bertino
Research Collection School Of Computing and Information Systems
Modern smart TVs often communicate with their remote controls (including the smartphone simulated ones) using multiple wireless channels (e.g., Infrared, Bluetooth, and Wi-Fi). However, this multi-channel remote control communication introduces a new attack surface. An inherent security flaw is that remote controls of most smart TVs are designed to work in a benign environment rather than an adversarial one, and thus wireless communications between a smart TV and its remote controls are not strongly protected. Attackers can leverage such a flaw to abuse the remote control communication and compromise smart TV systems. In this paper, we propose EvilScreen, a novel …
Mtdscout : Complementing The Identification Of Insecure Methods In Android Apps Via Source-To-Bytecode Signature Generation And Tree-Based Layered Search, Zicheng Zhang, Haoyu Ma, Daoyuan Wu, Debin Gao, Xiao Yi, Yufan Chen, Yan Wu, Lingxiao Jiang
Mtdscout : Complementing The Identification Of Insecure Methods In Android Apps Via Source-To-Bytecode Signature Generation And Tree-Based Layered Search, Zicheng Zhang, Haoyu Ma, Daoyuan Wu, Debin Gao, Xiao Yi, Yufan Chen, Yan Wu, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
Modern Android apps consist of both host app code and third-party libraries. Traditional static analysis tools conduct taint analysis for API misuses on the entire app code, while third-party library (TPL) detection tools focus solely on library code. Both approaches, however, are prone to some inherent false negatives: taint analysis tools may neglect third-party libraries or face timeouts/errors in whole app-based analysis, and TPL detection tools are not designed for pinpointing specific vulnerable methods. These challenges underscore the need for enhanced identification of insecure methods in Android apps, particularly for app markets addressing open-source security incidents. In this paper, we …
Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data, Xiancai Tian, Chen Zhang, Baihua Zheng
Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data, Xiancai Tian, Chen Zhang, Baihua Zheng
Research Collection School Of Computing and Information Systems
Metro system serves as the backbone for urban public transportation. Accurate passenger load prediction for the metro system plays a crucial role in metro service quality improvement, such as helping operators schedule train timetables and passengers plan their trips. However, existing works can only predict low-grained passenger flows of origin-destination (O-D) paths or inflows/outflows of each station but cannot predict passenger load distribution over the whole metro network. To this end, this paper proposes an end-to-end inference framework, PIPE, for passenger load prediction of every metro segment between two adjacent stations, by only utilizing smart card data. In particular, PIPE …
Verifiable Outsourced Attribute-Based Encryption Scheme For Cloud-Assisted Mobile E-Health System, Yinbin Miao, Feng Li, Xinghua Li, Jianting Ning, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng
Verifiable Outsourced Attribute-Based Encryption Scheme For Cloud-Assisted Mobile E-Health System, Yinbin Miao, Feng Li, Xinghua Li, Jianting Ning, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng
Research Collection School Of Computing and Information Systems
The cloud-assisted mobile electronic health (e-health) system facilitates e-health data sharing between healthcare providers and patients, but also raises the security and privacy concerns of e-health data. Although Ciphertext-Policy Attribute-Based Encryption (CP-ABE) has been a promising technique to achieve fine-grained access control over encrypted e-health data, it still incurs high encryption and decryption burdens on mobile users such as smartphones and sensors. In addition, malicious cloud servers may conduct incorrect operations due to various interest incentives (e.g., leaking sensitive information to illegal users, saving computation and storage costs). To solve the above issues, in this paper we first propose an …
Privacy-Preserved Data Trading Via Verifiable Data Disturbance, Man Zhang, Xinghua Li, Yanbing Ren, Bin Luo, Yinbin Miao, Ximeng Liu, Robert H. Deng
Privacy-Preserved Data Trading Via Verifiable Data Disturbance, Man Zhang, Xinghua Li, Yanbing Ren, Bin Luo, Yinbin Miao, Ximeng Liu, Robert H. Deng
Research Collection School Of Computing and Information Systems
To motivate data owner (DO) to trade data, the existing data trading allows DO to sell the disturbed data to the data consumer (DC), where the disturbance parameter and the data price are negotiated by them, and DO independently adds the disturbance noise to data (usually continuous type) following the negotiation result. However, DOs may violate the negotiated parameter and add more noise to data while obtaining the negotiated price, which damages DC's disturbed data availability. This deficiency is rooted in the absence of supervision and verifiability on DOs’ independent disturbances. Aiming at the above problem, we devise a privacy-preserved …
Diffusion Models For Generative Outfit Recommendation, Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models For Generative Outfit Recommendation, Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Research Collection School Of Computing and Information Systems
Outfit Recommendation (OR) in the fashion domain has evolved through two stages: Pre-defined Outfit Recommendation and Personalized Outfit Composition. However, both stages are constrained by existing fashion products, limiting their effectiveness in addressing users' diverse fashion needs. Recently, the advent of AI-generated content provides the opportunity for OR to transcend these limitations, showcasing the potential for personalized outfit generation and recommendation.To this end, we introduce a novel task called Generative Outfit Recommendation (GOR), aiming to generate a set of fashion images and compose them into a visually compatible outfit tailored to specific users. The key objectives of GOR lie in …
Towards Automated Slide Augmentation To Discover Credible And Relevant Links, Dilan Dinushka Senarath Arachchige, Christopher M. Poskitt, Kwan Chin (Xu Guangjin) Koh, Heng Ngee Mok, Hady Wirawan Lauw
Towards Automated Slide Augmentation To Discover Credible And Relevant Links, Dilan Dinushka Senarath Arachchige, Christopher M. Poskitt, Kwan Chin (Xu Guangjin) Koh, Heng Ngee Mok, Hady Wirawan Lauw
Research Collection School Of Computing and Information Systems
Learning from concise educational materials, such as lecture notes and presentation slides, often prompts students to seek additional resources. Newcomers to a subject may struggle to find the best keywords or lack confidence in the credibility of the supplementary materials they discover. To address these problems, we introduce Slide++, an automated tool that identifies keywords from lecture slides, and uses them to search for relevant links, videos, and Q&As. This interactive website integrates the original slides with recommended resources, and further allows instructors to 'pin' the most important ones. To evaluate the effectiveness of the tool, we trialled the system …
Microkarta: Visualising Microservice Architectures, Oscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner
Microkarta: Visualising Microservice Architectures, Oscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner
Research Collection School Of Computing and Information Systems
Conceptualising and debugging a microservice architecture can be a challenge for developers due to the complex topology of inter-service communication, which may only apparent when viewing the architecture as a whole. In this paper, we present MicroKarta, a dashboard containing three types of network diagram that visualise complex microservice architectures, and that are designed to address problems faced by developers of these architectures. Initial feedback from industry developers has been positive. This dashboard can be used by developers to explore and debug microservice architectures, and can be used to compare the effectiveness of different types of network visualisation for assisting …
Partial Solution Based Constraint Solving Cache In Symbolic Execution, Ziqi Shuai, Zhenbang Chen, Kelin Ma, Kunlin Liu, Yufeng Zhang, Jun Sun, Ji Wang
Partial Solution Based Constraint Solving Cache In Symbolic Execution, Ziqi Shuai, Zhenbang Chen, Kelin Ma, Kunlin Liu, Yufeng Zhang, Jun Sun, Ji Wang
Research Collection School Of Computing and Information Systems
Constraint solving is one of the main challenges for symbolic execution. Caching is an effective mechanism to reduce the number of the solver invocations in symbolic execution and is adopted by many mainstream symbolic execution engines. However, caching can not perform well on all programs. How to improve caching’s effectiveness is challenging in general. In this work, we propose a partial solution-based caching method for improving caching’s effectiveness. Our key idea is to utilize the partial solutions inside the constraint solving to generate more cache entries. A partial solution may satisfy other constraints of symbolic execution. Hence, our partial solution-based …
A Bottom-Up Multi-Disciplinary Approach For Sustainability Education: Un-Sdg 13.3, Benjamin Gan, Thomas Menkhoff, Eng Lieh Ouh, Kevin Cheong
A Bottom-Up Multi-Disciplinary Approach For Sustainability Education: Un-Sdg 13.3, Benjamin Gan, Thomas Menkhoff, Eng Lieh Ouh, Kevin Cheong
Research Collection School Of Computing and Information Systems
Teaching both information systems and business undergraduates to break the current inertia in sustainability action requires innovative teaching & learning approaches as well as inter-disciplinary knowledge inputs. This study presents a bottom-up T&L approach delivered by a group of educators from different disciplines aimed at addressing UN-SDG Goal 13 ‘Climate Action’ with a novel approach. Integrating a problem-centric community project assignment into existing courses, our students worked on different disciplinary elements such as persuasive technologies and awareness campaigns to help to address local sustainability initiatives by community partners. We collected data to measure how students’ motivation, engagement, teamwork, and community …
Exploring The Market Impact Of Web3 Identity Imitation In Ethereum Name Service, Ping Fan Ke, Yi Meng Lau
Exploring The Market Impact Of Web3 Identity Imitation In Ethereum Name Service, Ping Fan Ke, Yi Meng Lau
Research Collection School Of Computing and Information Systems
Digital identities are paramount in today’s digital landscape. However, in the Web3 ecosystem, the absence of a central governing body leaves digital identities, such as domain names, vulnerable to cybersquatting and identity imitation. This study examines the market impact of identity imitation in the Web3 ecosystem. By scrutinizing trading activities within Web3 domain names from Ethereum Name Service (ENS) and its imitator, "Ether Name Service," we found that the presence of a newly imitating domain name increases the subsequent resale value of the authentic domain name. Additionally, we find a positive correlation between the resale value of the imitating domain …
Jigsaw: Edge-Based Streaming Perception Over Spatially Overlapped Multi-Camera Deployments, Ila Gokarn, Yigong Hu, Tarek Abdelzaher, Archan Misra
Jigsaw: Edge-Based Streaming Perception Over Spatially Overlapped Multi-Camera Deployments, Ila Gokarn, Yigong Hu, Tarek Abdelzaher, Archan Misra
Research Collection School Of Computing and Information Systems
We present JIGSAW, a novel system that performs edge-based streaming perception over multiple video streams, while additionally factoring in the redundancy offered by the spatial overlap often exhibited in urban, multi-camera deployments. To assure high streaming throughput, JIGSAW extracts and spatially multiplexes multiple regions-of-interest from different camera frames into a smaller canvas frame. Moreover, to ensure that perception stays abreast of evolving object kinematics, JIGSAW includes a utility-based weighted scheduler to preferentially prioritize and even skip object-specific tiles extracted from an incoming stream of camera frames. Using the CityflowV2 traffic surveillance dataset, we show that JIGSAW can simultaneously process 25 …
Becoming An Effective Jibs Reviewer, A. Rebecca Reuber, Shameem Prashantham, Liang Chen
Becoming An Effective Jibs Reviewer, A. Rebecca Reuber, Shameem Prashantham, Liang Chen
Research Collection Lee Kong Chian School Of Business
No abstract provided.
Green Bond Premiums In The Asia-Pacific And European Markets, Parath Wongaree, Chiyachantana N. Chiraphol, Kuan Yong David Ding, Wasin Siwasarit
Green Bond Premiums In The Asia-Pacific And European Markets, Parath Wongaree, Chiyachantana N. Chiraphol, Kuan Yong David Ding, Wasin Siwasarit
Research Collection Lee Kong Chian School Of Business
We examine green bond premiums in the primary and secondary bond markets in the Asia-Pacific and Europe. In both regions, green bond yields are significantly lower than those of conventional bonds in the primary market, indicating that a green bond premium exists. Asia-Pacific investors in the secondary market are more willing to accept lower yields than European ones. We find that green bonds have a lower risk than conventional bonds. Investment grade issuers, financial sector issuers, and local currency green bonds are associated with lower yields due to their stronger reputation, higher credit ratings, and absence of foreign exchange risk.
Cds Channels Of Influence On Discretionary Accruals, Hao Cheng, Kian Guan Lim
Cds Channels Of Influence On Discretionary Accruals, Hao Cheng, Kian Guan Lim
Research Collection Lee Kong Chian School Of Business
Existing studies indicated that firm debt holders can use the credit default swap (CDS) market to hedge their credit risk, and thus they would reduce their monitoring of the firms, leading to largely distressed firms shirking and increasing positive abnormal earnings accruals. Besides providing insurance, however, the CDS spreads also perform price discovery of credit risk information sought by trade creditors and potential lenders who are not protected. High absolute abnormal discretionary accruals or bad earnings quality, especially negative abnormal accruals, would lead adverse CDS price signals that are very costly to the firm. This compels the firm under nondistressed …
Locking In Overseas Buyers Amid Geopolitical Conflicts, Di Fan, Pengcheng Ma, Lin Cui, Daphne W. Yiu
Locking In Overseas Buyers Amid Geopolitical Conflicts, Di Fan, Pengcheng Ma, Lin Cui, Daphne W. Yiu
Research Collection Lee Kong Chian School Of Business
Geopolitical conflicts, particularly economic ones, introduce significant uncertainties into the global supply chain. The impact of these conflicts on cross-border buyer-supplier transactions remains underexplored, as does the capability of global suppliers to mitigate such risks by locking in their foreign buyers. Employing a combined perspective of resource dependence theory and transaction cost economics, we examine a natural experiment to investigate the effects of the 2018 U.S.-China trade war on the transactional relationships between Chinese suppliers and their U.S. buyers. Our study reveals that the trade war generally adversely affected these buyer-supplier transactional relationships, leading to a negative abnormal transaction value …
Who Profits From Trading Options?, Jianfeng Hu, Antonia Kirilova, Gilbert Seongkyu Park, Doojin Ryu
Who Profits From Trading Options?, Jianfeng Hu, Antonia Kirilova, Gilbert Seongkyu Park, Doojin Ryu
Research Collection Lee Kong Chian School Of Business
We use account-level transaction data to examine trading styles and profitability in a leading derivatives market. Approximately 66% of active retail investors predominantly hold simple, one-sided positions in only one class of options, whereas institutional investors are more likely to use complex strategies. Hypothesizing that the complexity of trading styles reflects investors' skills, we examine the effect of options trading styles on investment performance. We find that retail investors using simple strategies lose to the rest of the market. For both retail and institutional investors, selling volatility is the most successful strategy. We conclude that these style effects are persistent …
Luke Nottage & Makoto Ibusuki (Eds), Comparing Online Legal Education: Past, Present And Future (Intersentia, 2023), Chin Seng Bryan Leow, Kwan Ho Lau
Luke Nottage & Makoto Ibusuki (Eds), Comparing Online Legal Education: Past, Present And Future (Intersentia, 2023), Chin Seng Bryan Leow, Kwan Ho Lau
Research Collection Library
This is a review of the book Comparing Online Legal Education: Past, Present and Future (Luke Nottage & Makoto Ibusuki, eds) (Intersentia, 2023)
Retail Investors' Activity And Climate Disasters, Marinela Adriana Finta
Retail Investors' Activity And Climate Disasters, Marinela Adriana Finta
Sim Kee Boon Institute for Financial Economics
We analyze the effects of climate disasters on retail investors’ trading activity. Results show that retail investors trade significantly less during and around climate disasters, and retail buyers exhibit higher returns than sellers. Climate disasters weaken the positive return predictability of the past month’s order imbalances while strengthening it for the past six month’s order imbalances. In the short run, firms within climate disaster counties with retail net buying underperform those with negative imbalances. Instead, in the long run, firms within and outside climate disaster counties with positive order flows outperform those with negative order flows. Finally, the estimates on …
The Role Of Macroprudential Policies Under Carbon Pricing, Maria Teresa Punzi
The Role Of Macroprudential Policies Under Carbon Pricing, Maria Teresa Punzi
Sim Kee Boon Institute for Financial Economics
This paper analyses the effectiveness of macroprudential policy on macro-financial fluctuations when the government enforces carbon pricing to reduce carbon emissions and achieve the net-zero target. A carbon tax policy alone can reduce carbon emissions by 2030, but at the cost of a deep and prolonged recession, with consequential financial instability due to a higher probability of default on entrepreneurs in the brown sector. This result suggests that carbon pricing should be coupled with complementary policies, such as macroprudential policy. In particular, differentiated LTV ratios and differentiated capital requirements that penalize the brown sector in favour of the green sector …
Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh
Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh
Research Collection School Of Economics
Being overweight or obese is a serious public health problem. Misperception of one's own weight status and inertia are major obstacles to weight control. To overcome these two problems, we conduct a randomized controlled trial in which participants are presented with the correct weight category based on their body mass index to remove any weight misperception, and then given six biweekly reminders about healthy diet and physical activity via SMS/email. We find that our intervention reduces individuals’ weight misperception and encourages healthier dietary choices. However, it has little impact on their physical activity. We further show that people who were …
Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu
Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu
Research Collection School Of Economics
We propose a new welfare effect of trade surplus. Guided by insight from several fields in economics, we provide evidence that an increase in a country's trade surplus alters the unit shipping costs for its trade and the composition of its imports in ways that induce more pollution in the country in equilibrium. This new form of welfare loss of trade imbalance has not been accounted for in the existing international economics literature
Avoiding Pragmatic Oddity: A Bottom-Up Defeasible Deontic Logic, Guido Governatori, Silvano Colombo Tosatto, Antonio Rotolo
Avoiding Pragmatic Oddity: A Bottom-Up Defeasible Deontic Logic, Guido Governatori, Silvano Colombo Tosatto, Antonio Rotolo
Centre for Computational Law (2022-2025)
This paper presents an extension of Defeasible Deontic Logic to deal with the Pragmatic Oddity problem. The logic applies three general principles: (i) the Pragmatic Oddity problem must be solved within a general logical treatment of contrary-to-duty (CTD) reasoning; (ii) non-monotonic methods must be adopted to handle CTD reasoning; (iii) logical models of CTD reasoning must be computationally feasible and, if possible, efficient. The proposed extension of Defeasible Deontic Logic elaborates a preliminary version of the model proposed by Governatori and Rotolo [15]. The previous solution was based on particular characteristics of the (constructive, top-down) proof theory of the logic. …