Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (9401)
- Computer Sciences (9093)
- Databases and Information Systems (3572)
- Social and Behavioral Sciences (3303)
- Business (2287)
-
- Software Engineering (2227)
- Artificial Intelligence and Robotics (1938)
- International and Area Studies (1186)
- Asian Studies (1169)
- Information Security (1124)
- Numerical Analysis and Scientific Computing (1061)
- Engineering (974)
- Graphics and Human Computer Interfaces (959)
- Law (565)
- Public Affairs, Public Policy and Public Administration (551)
- Sociology (516)
- Theory and Algorithms (513)
- Economics (506)
- Computer Engineering (486)
- Psychology (477)
- Communication (451)
- Education (426)
- Operations Research, Systems Engineering and Industrial Engineering (420)
- Programming Languages and Compilers (413)
- Technology and Innovation (375)
- Organizational Behavior and Theory (364)
- Medicine and Health Sciences (359)
- OS and Networks (347)
- Finance and Financial Management (318)
- Social Media (297)
- Keyword
-
- Singapore (434)
- Machine learning (151)
- Artificial intelligence (131)
- Deep learning (131)
- Social media (100)
-
- China (92)
- COVID-19 (88)
- Innovation (79)
- Singapore Management University (78)
- Sustainability (76)
- Privacy (74)
- Reinforcement learning (73)
- Data mining (71)
- Higher education (65)
- Security (65)
- Cloud computing (62)
- Deep Learning (58)
- Collaboration (56)
- Optimization (56)
- Empirical study (55)
- Software engineering (55)
- Well-being (55)
- Blockchain (54)
- Online learning (54)
- Performance (54)
- Technology (53)
- Training (53)
- Twitter (52)
- Visualization (52)
- Natural language processing (51)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (8612)
- Research Collection Lee Kong Chian School Of Business (957)
- Research Collection School of Social Sciences (897)
- Research Collection Yong Pung How School Of Law (504)
- Dissertations and Theses Collection (Open Access) (453)
-
- Research Collection School Of Economics (361)
- Research Collection College of Integrative Studies (312)
- Asian Management Insights (131)
- Perspectives@SMU (126)
- Research Collection School Of Accountancy (118)
- Research Collection Library (86)
- Social Space (66)
- Knowledge@SMU (62)
- SMU Press Releases and News (36)
- ROSA Research Briefs (30)
- Dissertations and Theses Collection (27)
- Sim Kee Boon Institute for Financial Economics (21)
- Research@SMU: Connecting the Dots (19)
- Oral History Collection (18)
- Report to Stakeholders (18)
- FORCE 2026 (16)
- CCX Research (15)
- Lien Centre for Social Innovation: Research (14)
- Student Publications (12)
- MITB Thought Leadership Series (11)
- Research Collection Institute of Service Excellence (2007-2024) (11)
- Research Collection School of Computing and Information Systems (11)
- Research Collection Office of Impact (10)
- SMU Corporate Reports (10)
- Centre for AI & Data Governance (2019-2025) (9)
- Publication Type
- File Type
Articles 11761 - 11790 of 13084
Full-Text Articles in Entire DC Network
Which Daily Price Is Less Noisy?, Christopher Ting
Which Daily Price Is Less Noisy?, Christopher Ting
Research Collection Lee Kong Chian School Of Business
The daily efficient price is the price that would prevail if the market were frictionless. I show that volume-weighted average price (VWAP) provides a less noisy estimate for the unobservable efficient price as compared to the closing price. The variance of daily returns computed with VWAPs is smaller than that computed with closing prices. The difference between these two realized variances is economically significant. The volatility of log closing price change tends to understate the beta risk and Sharpe ratio. A higher noise level in the closing price leads to derivative prices that favor option and volatility-related swap writers.
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Research Collection School Of Computing and Information Systems
In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Instead of having a single learner to classify all datasets during each recursion, an appropriate learner is chosen from a set of three learners, based on the subset of data being trained, thereby avoiding the time overhead associated with the genetic algorithm learner utilized in previous approaches. In this way MLRT seeks to identify the inherent characteristics of …
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Research Collection School Of Computing and Information Systems
In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Instead of having a single learner to classify all datasets during each recursion, an appropriate learner is chosen from a set of three learners, based on the subset of data being trained, thereby avoiding the time overhead associated with the genetic algorithm learner utilized in previous approaches. In this way MLRT seeks to identify the inherent characteristics of …
Masking Page Reference Patterns In Encryption Databases On Untrusted Storage, Xi Ma, Hwee Hwa Pang, Kian-Lee Tan
Masking Page Reference Patterns In Encryption Databases On Untrusted Storage, Xi Ma, Hwee Hwa Pang, Kian-Lee Tan
Research Collection School Of Computing and Information Systems
To support ubiquitous computing, the underlying data have to be persistent and available anywhere-anytime. The data thus have to migrate from devices that are local to individual computers, to shared storage volumes that are accessible over open network. This potentially exposes the data to heightened security risks. In particular, the activity on a database exhibits regular page reference patterns that could help attackers learn logical links among physical pages and then launch additional attacks. We propose two countermeasures to mitigate the risk of attacks initiated through analyzing the shared storage server’s activity for those page patterns. The first countermeasure relocates …
Three Architectures For Trusted Data Dissemination In Edge Computing, Shen-Tat Goh, Hwee Hwa Pang, Robert H. Deng, Feng Bao
Three Architectures For Trusted Data Dissemination In Edge Computing, Shen-Tat Goh, Hwee Hwa Pang, Robert H. Deng, Feng Bao
Research Collection School Of Computing and Information Systems
Edge computing pushes application logic and the underlying data to the edge of the network, with the aim of improving availability and scalability. As the edge servers are not necessarily secure, there must be provisions for users to validate the results—that values in the result tuples are not tampered with, that no qualifying data are left out, that no spurious tuples are introduced, and that a query result is not actually the output from a different query. This paper aims to address the challenges of ensuring data integrity in edge computing. We study three schemes that enable users to check …
Cuhk At Imageclef 2005: Cross-Language And Cross Media Image Retrieval, Steven Hoi, Jianke Zhu, Michael R. Lyu
Cuhk At Imageclef 2005: Cross-Language And Cross Media Image Retrieval, Steven Hoi, Jianke Zhu, Michael R. Lyu
Research Collection School Of Computing and Information Systems
In this paper, we describe our studies of cross-language and cross-media image retrieval at the ImageCLEF 2005. This is the first participation of our CUHK (The Chinese University of Hong Kong) group at ImageCLEF. The task in which we participated is the “bilingual ad hoc retrieval” task. There are three major focuses and contributions in our participation. The first is the empirical evaluation of language models and smoothing strategies for cross-language image retrieval. The second is the evaluation of cross-media image retrieval, i.e., combining text and visual contents for image retrieval. The last is the evaluation of bilingual image retrieval …
Mining Rdf Metadata For Generalized Association Rules, Tao Jiang, Ah-Hwee Tan
Mining Rdf Metadata For Generalized Association Rules, Tao Jiang, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the over-generalization problem encountered by existing methods, GP-Close employs the notion of generalization closure for systematic over-generalization reduction. Empirical experiments conducted on real world RDF data sets show that our method can substantially reduce pattern redundancy and perform much better than the original generalized association rule mining algorithm Cumulate in term of time efficiency.
Discovering Image-Text Associations For Cross-Media Web Information Fusion, Tao Jiang, Ah-Hwee Tan
Discovering Image-Text Associations For Cross-Media Web Information Fusion, Tao Jiang, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
The diverse and distributed nature of the information published on the World Wide Web has made it difficult to collate and track information related to specific topics. Whereas most existing work on web information fusion has focused on multiple document summarization, this paper presents a novel approach for discovering associations between images and text segments, which subsequently can be used to support cross-media web content summarization. Specifically, we employ a similarity-based multilingual retrieval model and adopt a vague transformation technique for measuring the information similarity between visual features and textual features. The experimental results on a terrorist domain document set …
On The Magnet Effect Of Foreign Direct Investment, Pao Li Chang, Chia-Hui Lu
On The Magnet Effect Of Foreign Direct Investment, Pao Li Chang, Chia-Hui Lu
Research Collection School Of Economics
We extend Antras and Helpman (2004) on firm heterogeneity and organizational choice to a dynamic setting with FDI uncertainty, in which the probability of investment failure decreases with the host country's infrastructure level and increases with the technological complexity facing each firm. Moreover, it decreases over time as the accumulated mass of firms succeeding in FDI increases. We show that a minimum level of infrastructure is required to trigger a first wave of industrial migration. We then formalize the often noted "magnet effect" of FDI - the first wave of industrial migration generates positive externality (information spillover) for subsequent investors, …
Wireless Indoor Positioning System With Enhanced Nearest Neighbors In Signal Space Algorithm, Quang Tran, Juki Wirawan Tantra, Ah-Hwee Tan, Ah-Hwee Tan, Kin-Choong Yow, Dongyu Qiu
Wireless Indoor Positioning System With Enhanced Nearest Neighbors In Signal Space Algorithm, Quang Tran, Juki Wirawan Tantra, Ah-Hwee Tan, Ah-Hwee Tan, Kin-Choong Yow, Dongyu Qiu
Research Collection School Of Computing and Information Systems
With the rapid development and wide deployment of wireless Local Area Networks (WLANs), WLAN-based positioning system employing signal-strength-based technique has become an attractive solution for location estimation in indoor environment. In recent years, a number of such systems has been presented, and most of the systems use the common Nearest Neighbor in Signal Space (NNSS) algorithm. In this paper, we propose an enhancement to the NNSS algorithm. We analyze the enhancement to show its effectiveness. The performance of the enhanced NNSS algorithm is evaluated with different values of the parameters. Based on the performance evaluation and analysis, we recommend some …
Practical Private Data Matching Deterrent To Spoofing Attacks, Yanjiang Yang, Robert H. Deng, Feng Bao
Practical Private Data Matching Deterrent To Spoofing Attacks, Yanjiang Yang, Robert H. Deng, Feng Bao
Research Collection School Of Computing and Information Systems
Private data matching between the data sets of two potentially distrusted parties has a wide range of applications. However, existing solutions have substantial weaknesses and do not meet the needs of many practical application scenarios. In particular, practical private data matching applications often require discouraging the matching parties from spoofing their private inputs. In this paper, we address this challenge by forcing the matching parties to "escrow" the data they use for matching to an auditorial agent, and in the "after-the-fact" period, they undertake the liability to attest the genuineness of the escrowed data.
Disclosure Analysis For Two-Way Contingency Tables, Haibing Lu, Yingjiu Li, Xintao Wu
Disclosure Analysis For Two-Way Contingency Tables, Haibing Lu, Yingjiu Li, Xintao Wu
Research Collection School Of Computing and Information Systems
Disclosure analysis in two-way contingency tables is important in categorical data analysis. The disclosure analysis concerns whether a data snooper can infer any protected cell values, which contain privacy sensitive information, from available marginal totals (i.e., row sums and column sums) in a two-way contingency table. Previous research has been targeted on this problem from various perspectives. However, there is a lack of systematic definitions on the disclosure of cell values. Also, no previous study has been focused on the distribution of the cells that are subject to various types of disclosure. In this paper, we define four types of …
Human-Computer Interaction Research In The Management Information Systems Discipline, Fiona Fui-Hoon Nah, Ping Zhang, Scott Mccoy, Munyong Yi
Human-Computer Interaction Research In The Management Information Systems Discipline, Fiona Fui-Hoon Nah, Ping Zhang, Scott Mccoy, Munyong Yi
Research Collection School Of Computing and Information Systems
No abstract provided.
Continuous Nearest Neighbor Monitoring In Road Networks, Kyriakos Mouratidis, Man Lung Yiu, Dimitris Papadias, Nikos Mamoulis
Continuous Nearest Neighbor Monitoring In Road Networks, Kyriakos Mouratidis, Man Lung Yiu, Dimitris Papadias, Nikos Mamoulis
Research Collection School Of Computing and Information Systems
Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic scenarios, where the queries and the data objects move frequently and arbitrarily. All existing methods, however, assume the Euclidean distance metric. In this paper we study k-NN monitoring in road networks, where the distance between a query and a data object is determined by the length of the shortest path connecting them. We propose two methods that can handle arbitrary object and query moving patterns, as well as °uctuations of edge weights. The ¯rst one maintains the query results by processing only updates that may invalidate …
Rights Protection For Data Cubes, Jie Guo, Yingjiu Li, Robert H. Deng, Kefei Chen
Rights Protection For Data Cubes, Jie Guo, Yingjiu Li, Robert H. Deng, Kefei Chen
Research Collection School Of Computing and Information Systems
We propose a rights protection scheme for data cubes. The scheme embeds ownership information by modifying a set of selected cell values. The embedded message will not affect the usefulness of data cubes in the sense that the sum queries at any aggregation level are not affected. At the same time, the errors introduced to individual cell values are under control. The embedded message can be detected with a high probability even in the presence of typical data cube attacks. The proposed scheme can thus be used for protecting data cubes from piracy in an open, distributed environment.
Minimum Latency Broadcasting In Multi-Radio Multi-Channel Multi-Rate Wireless Meshes, Junaid Qadir, Archan Misra, Chun Tung Chou
Minimum Latency Broadcasting In Multi-Radio Multi-Channel Multi-Rate Wireless Meshes, Junaid Qadir, Archan Misra, Chun Tung Chou
Research Collection School Of Computing and Information Systems
We address the problem of minimizing the worst-case broadcast delay in multi-radio multi-channel multi-rate (MR2-MC) wireless mesh networks (WMN). The problem of 'efficient' broadcast in such networks is especially challenging due to the numerous interrelated decisions that have to be made. The multi-rate transmission capability of WMN nodes, interference between wireless transmissions, and the hardness of optimal channel assignment adds complexity to our considered problem. We present four heuristic algorithms to solve the minimum latency broadcast problem for such settings and show that the 'best' performing algorithms usually adapt themselves to the available radio interfaces and channels. We also study …
Bucket Brigades On In-Tree Assembly Networks, John J. Bartholdi, Iii, Donald D. Eisenstein, Yun Fong Lim
Bucket Brigades On In-Tree Assembly Networks, John J. Bartholdi, Iii, Donald D. Eisenstein, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
In a of subassembly lines, balance becomes more difficult to achieve as it requires that all subassembly lines be synchronized to produce at the same rate. We show how to adapt the ‘‘bucket brigade’’ protocol of work-sharing so that balance emerges spontaneously.
Relationships, Layoffs, And Organizational Resilience: Airline Industry Responses To September 11, Jody H. Gittell, Kim Cameron, Sandy Lim, Victor Rivas
Relationships, Layoffs, And Organizational Resilience: Airline Industry Responses To September 11, Jody H. Gittell, Kim Cameron, Sandy Lim, Victor Rivas
Research Collection School of Social Sciences
The terrorist attacks of September 11, 2001, affected the U.S. airline industry more than almost any other industry. Certain airlines emerged successful and demonstrated remarkable resilience while others languished. This investigation identifies reasons why some airline companies recovered successfully after the attacks while others struggled. Evidence is provided that layoffs after the crisis, although intended to foster recovery, instead inhibited recovery throughout the 4 years after the crisis. But, layoffs after the crisis were strongly correlated with lack of financial reserves and lack of a viable business model prior to the crisis. Digging deeper, the authors find that having a …
Video-Based Versus Written Situational Judgment Tests: A Comparison In Terms Of Predictive Validity, Filip Lievens, Paul R. Sackett
Video-Based Versus Written Situational Judgment Tests: A Comparison In Terms Of Predictive Validity, Filip Lievens, Paul R. Sackett
Research Collection Lee Kong Chian School Of Business
In this study, the authors examined whether video-based situational judgment tests (SJTs) have higher predictive validity than written SJTs (keeping verbal content constant). The samples consisted of 1, 159 students who completed a video-based version of an SIT and 1,750 students who completed the same SIT in a written format. The study was conducted in a high stakes testing context. The video-based version of an interpersonally oriented SJT had a lower correlation with cognitive ability than did the written version. It also had higher predictive and incremental validity for predicting interpersonally oriented criteria than did the written version. In this …
Collaborative Image Retrieval Via Regularized Metric Learning, Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
Collaborative Image Retrieval Via Regularized Metric Learning, Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
Research Collection School Of Computing and Information Systems
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between the low-level image features used for computing image similarity and the high-level semantic concepts conveyed in images. One way to reduce the semantic gap is to utilize the log data of users' feedback that has been collected by CBIR systems in history, which is also called “collaborative image retrieval.” In this paper, we present a novel metric learning approach, named “regularized metric learning,” for collaborative image retrieval, which learns a distance metric by exploring …
An Experimental Study On U-Commerce Adoption: The Impact Of Personalization And Privacy Concerns, H. Sheng, Fiona Fui-Hoon Nah, Keng Siau
An Experimental Study On U-Commerce Adoption: The Impact Of Personalization And Privacy Concerns, H. Sheng, Fiona Fui-Hoon Nah, Keng Siau
Research Collection School Of Computing and Information Systems
U-commerce represents “anytime, anywhere” commerce, which is believed to be the ultimate form of commerce. Ucommerce can provide a high level of personalization, which can bring additional benefits and values to customers. However, despite these promises and potential benefits, customers’ privacy is a major concern and obstacle to the adoption of ucommerce. As customers’ intention to adopt u-commerce is based on the aggregate effect of perceived benefits and risk exposure (e.g., privacy concerns), this research examines how personalization and context can impact on customers’ perceived benefits and privacy concerns, and how this aggregated effect in turn affects u-commerce adoption intention. …
Use Of A Classroom Response System To Enhance Classroom Interactivity, Keng Siau, H. Sheng, Fiona Fui-Hoon Nah
Use Of A Classroom Response System To Enhance Classroom Interactivity, Keng Siau, H. Sheng, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
Classroom interactivity is a critical component of teaching and learning. This paper reports on the use of a classroom response system to enhance classroom interactivity in a systems analysis and design course. The success of the project was assessed using both quantitative and qualitative data. A pretest/posttest design was used to examine the effects of a classroom respons system on interactivity. The results show that a classroom response system can significantly improve classroom interactivity. Qualitative data was also collected to identify the strengths and weaknesses of using a classroom response system to enhance classroom interaction. Based on the quantitative and …
Architectural Control And Value Migration In Platform Industries, C. Jason Woodard
Architectural Control And Value Migration In Platform Industries, C. Jason Woodard
Research Collection School Of Computing and Information Systems
carry some pre-computation information of each region. We also propose multiple client-side algorithms to facilitate the processing of
Knowledges Of The Creative Economy: Towards A Relational Geography Of Diffusion And Adaptation In Asia, Lily Kong, Chris Gibson, Louisa-May Khoo, Anne-Louise Semple
Knowledges Of The Creative Economy: Towards A Relational Geography Of Diffusion And Adaptation In Asia, Lily Kong, Chris Gibson, Louisa-May Khoo, Anne-Louise Semple
Research Collection School of Social Sciences
Recent dialogues in geography and the social sciences have reminded researchers of the extent to which academic and policy knowledges are socially and spatially embedded-that is, they circulate through formal and informal systems of publishing, exchange, commodification and cultural influence. Academic and policy knowledges are, in short, very much a part of the creative economy. In light of this, our paper surveys knowledges of the creative economy itself, as reflected in a geography of industry reports and government policy statements in selected Asian countries. Using a post-positivist framework adapted from diffusion theory, we critically interpret the circulation, mutation and adaptation …
The Sociality Of Cultural Industries: Hong Kong's Cultural Policy And Film Industry, Lily Kong
The Sociality Of Cultural Industries: Hong Kong's Cultural Policy And Film Industry, Lily Kong
Research Collection School of Social Sciences
In this article, I explore the sociality of cultural industries by analyzing the film industry in Hong Kong. In particular, the social networks and relationships at multiple scales – across national boundaries, within local settings and on production sets – are examined, revealing their critical role in contributing to the health of the film industry. The risks faced at various steps of the production, marketing and distribution process are ameliorated by trust relations, built up through time between social actors in spontaneous ways. While Hong Kong cultural policy in part seeks to create the social and spatial contexts within which …
An Energy-Efficient And Access Latency Optimized Indexing Scheme For Wireless Data Broadcast, Yuxia Yao, Xueyan Tang, Ee Peng Lim, Aixin Sun
An Energy-Efficient And Access Latency Optimized Indexing Scheme For Wireless Data Broadcast, Yuxia Yao, Xueyan Tang, Ee Peng Lim, Aixin Sun
Research Collection School Of Computing and Information Systems
Data broadcast is an attractive data dissemination method in mobile environments. To improve energy efficiency, existing air indexing schemes for data broadcast have focused on reducing tuning time only, i.e., the duration that a mobile client stays active in data accesses. On the other hand, existing broadcast scheduling schemes have aimed at reducing access latency through nonflat data broadcast to improve responsiveness only. Not much work has addressed the energy efficiency and responsiveness issues concurrently. This paper proposes an energy-efficient indexing scheme called MHash that optimizes tuning time and access latency in an integrated fashion. MHash reduces tuning time by …
Social Network Dynamics For Open Source Software Projects, Y. Long, Keng Siau
Social Network Dynamics For Open Source Software Projects, Y. Long, Keng Siau
Research Collection School Of Computing and Information Systems
Drawing on social network theories and previous studies, this research is an initial effort to explore the dynamics of the social network structure in Open Source Software (OSS) teams. Three projects were selected from SourceForge.net in term of their similarities as well as their differences. Monthly data were extracted from the bug tracking system in order to achieve a longitudinal view of the interaction pattern of each project. Social network analysis was used to generate the indices of network structure. The finding suggests that the interaction pattern of OSS projects evolves from a single hub at the beginning to a …
Using Mobile Technology In Education: Perspectives Of Students And Instructors, H. Sheng, F. Nah, Keng Siau
Using Mobile Technology In Education: Perspectives Of Students And Instructors, H. Sheng, F. Nah, Keng Siau
Research Collection School Of Computing and Information Systems
Mobile technology has the tremendous potential in supporting and improving education and its delivery. As a new phenomenon that is gaining popularity, the values of mobile technology in education need to be better researched and understood. In this research, we used the Value-Focused Thinking approach to interview students and instructors to identify the values of education that are enabled by mobile technology. These values are represented in the form of a means-ends objective network that not only captures the values of education facilitated by mobile technology but also depicts the relationships between these values. The values of education enabled by …
Understanding Intrinsic Factors Influencing Benefit Maximization Of Is Usage, Brenda Eschenbrenner, Fiona Fui-Hoon Nah
Understanding Intrinsic Factors Influencing Benefit Maximization Of Is Usage, Brenda Eschenbrenner, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
This research uses the Repertory Grid technique to understand intrinsic factors influencing benefit maximization of IS usage. The results show that domain-relevant skills, task motivation, cognitive/work style attributes, individual characteristics (identified as creativity traits) and personal characteristics (identified as innovativeness traits) influence benefit maximization of IS usage. The findings not only provide insights on ways to increase quality of IS usage in organizations but are also helpful for identifying approaches that foster attributes leading to increased benefit realization from IS usage.
A Hybrid Architecture Combining Reactive Plan Execution And Reactive Learning, Samin Karim, Liz Sonenberg, Ah-Hwee Tan
A Hybrid Architecture Combining Reactive Plan Execution And Reactive Learning, Samin Karim, Liz Sonenberg, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Developing software agents has been complicated by the problem of how knowledge should be represented and used. Many researchers have identified that agents need not require the use of complex representations, but in many cases suffice to use “the world” as their representation. However, the problem of introspection, both by the agents themselves and by (human) domain experts, requires a knowledge representation with a higher level of abstraction that is more ‘understandable’. Learning and adaptation in agents has traditionally required knowledge to be represented at an arbitrary, low-level of abstraction. We seek to create an agent that has the capability …