Open Access. Powered by Scholars. Published by Universities.®
Computer and Systems Architecture Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (75)
- Physical Sciences and Mathematics (75)
- Software Engineering (39)
- Databases and Information Systems (21)
- Artificial Intelligence and Robotics (8)
-
- OS and Networks (8)
- Systems Architecture (6)
- Business (4)
- Information Security (4)
- Data Storage Systems (3)
- Digital Communications and Networking (3)
- Graphics and Human Computer Interfaces (3)
- Numerical Analysis and Scientific Computing (3)
- Programming Languages and Compilers (3)
- Technology and Innovation (3)
- Digital Circuits (1)
- Education (1)
- Higher Education (1)
- Management Information Systems (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Public Affairs, Public Policy and Public Administration (1)
- Social and Behavioral Sciences (1)
- Theory and Algorithms (1)
- Transportation (1)
- Keyword
-
- Plan learning (3)
- Reinforcement learning (3)
- Self-organizing neural networks (3)
- Software architecture (3)
- Wireless sensor network (3)
-
- Attribute-based encryption (2)
- BDI (2)
- Data mining (2)
- Minefield navigation (2)
- Natural Language Processing (2)
- Reinforcement learning (RL) (2)
- Social computing (2)
- Wireless sensor networks (2)
- (re)delegation (1)
- ACT-R (1)
- Abstract concept (1)
- Accelerometers (1)
- Acoustic attack (1)
- Action representation (1)
- Active learning (1)
- Adaptive Resonance Theory (1)
- Adaptive large neighborhood search (1)
- Adaptive parameter tuning (1)
- Adaptive resonance theory (1)
- Adaptive resonance theory (ART) (1)
- Adaptive wireless scheduling QoS Heterogenous channel Buffer requirements Fairness (1)
- Adult learners (1)
- Adversarial reinforcement learning (1)
- Amazon Mechanical Turk (1)
- Analytical tool (1)
- Publication Year
- Publication
- Publication Type
Articles 91 - 98 of 98
Full-Text Articles in Computer and Systems Architecture
Integrated Cognitive Architectures: A Survey, Hui-Qing Chong, Ah-Hwee Tan, Gee-Wah Ng
Integrated Cognitive Architectures: A Survey, Hui-Qing Chong, Ah-Hwee Tan, Gee-Wah Ng
Research Collection School Of Computing and Information Systems
This article aims to present an account of the state of the art research in the field of integrated cognitive architectures by providing a review of six cognitive architectures, namely Soar, ACT-R, ICARUS, BDI, the subsumption architecture and CLARION. We conduct a detailed functional comparison by looking at a wide range of cognitive components, including perception, memory, goal representation, planning, problem solving, reasoning, learning, and relevance to neurobiology. In addition, we study the range of benchmarks and applications that these architectures have been applied to. Although no single cognitive architecture has provided a full solution with the level of human …
Modelling Situation Awareness For Context‐Aware Decision Support, Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan
Modelling Situation Awareness For Context‐Aware Decision Support, Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. However, situation models in real-world applications are typically complex and not easy to use. This paper presents a Context-aware Decision Support (CaDS) system, which consists of a situation model for shared situation awareness modelling and a group of entity agents, one for each individual user, for focused and customized decision support. By incorporating a rule-based inference engine, the entity agents provide functions including event classification, action recommendation, and proactive decision making. The implementation and the performance of the proposed system are demonstrated …
Self-Organizing Neural Architectures And Cooperative Learning In A Multiagent Environment, Dan Xiao, Ah-Hwee Tan
Self-Organizing Neural Architectures And Cooperative Learning In A Multiagent Environment, Dan Xiao, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Temporal-Difference–Fusion Architecture for Learning, Cognition, and Navigation (TD-FALCON) is a generalization of adaptive resonance theory (a class of self-organizing neural networks) that incorporates TD methods for real-time reinforcement learning. In this paper, we investigate how a team of TD-FALCON networks may cooperate to learn and function in a dynamic multiagent environment based on minefield navigation and a predator/prey pursuit tasks. Experiments on the navigation task demonstrate that TD-FALCON agent teams are able to adapt and function well in a multiagent environment without an explicit mechanism of collaboration. In comparison, traditional Q-learning agents using gradient-descent-based feedforward neural networks, trained with the …
A Two-Phase Approach To Interactivity Enhancement For Large-Scale Distributed Virtual Environments, Nguyen Binh Duong Ta, Suiping Zhou
A Two-Phase Approach To Interactivity Enhancement For Large-Scale Distributed Virtual Environments, Nguyen Binh Duong Ta, Suiping Zhou
Research Collection School Of Computing and Information Systems
Distributed virtual environments (DVEs) are distributed systems that allow multiple geographically distributed clients (users) to interact simultaneously in a computer-generated, shared virtual world. Applications of DVEs can be seen in many areas nowadays, such as online games, military simulations, collaborative designs, etc. To support large-scale DVEs with real-time interactions among thousands or even more distributed clients, a geographically distributed server architecture (GDSA) is generally needed, and the virtual world can be partitioned into many distinct zones to distribute the load among the servers. Due to the geographic distributions of clients and servers in such architectures, it is essential to efficiently …
Parameter Inference Of Queueing Models For It Systems Using End-To-End Measurements, Laura Wynter, Cathy H. Xia, Fan Zhang
Parameter Inference Of Queueing Models For It Systems Using End-To-End Measurements, Laura Wynter, Cathy H. Xia, Fan Zhang
Research Collection School Of Computing and Information Systems
As Information Technology (IT) matures and expands in the scope of available applications, IT systems increase at a fascinating rate in both size and complexity. For example, today, a typical Web service hosting center may have hundreds of nodes and dozens of different applications simultaneously running on it. Each of the nodes in turn has often multiple processors and layered caches. These nodes make use of both local and shared storage systems. The size and complexity of such systems make performance modeling much more difficult, if at all tractable. Detailed modeling, fine tuning and accurate analysis can be carried out …
Optimal Location Of Intermodal Freight Hubs, Illia Racunica, Laura Wynter
Optimal Location Of Intermodal Freight Hubs, Illia Racunica, Laura Wynter
Research Collection School Of Computing and Information Systems
We present an optimization model that has been developed to address the problem of increasing the share of rail in intermodal transport through the use of hub-and-spoke type networks for freight rail. The model defined is a generalization of the hub location problem in that it allows for non-linear and concave cost functions on different segments. A linearization procedure along with two efficient variable-reduction heuristics was developed for its resolution, making use of recent results on polyhedral properties of this class of problems. Computational experience and a qualitative analysis from a case study on the Alpine freight network is provided.
Critical Factors For Successful Implementation Of Enterprise Systems, Fiona Fui-Hoon Nah, J. Lau, J. Kuang
Critical Factors For Successful Implementation Of Enterprise Systems, Fiona Fui-Hoon Nah, J. Lau, J. Kuang
Research Collection School Of Computing and Information Systems
Enterprise resource planning (ERP) systems have emerged as the core of successful information management and the enterprise backbone of organizations. The difficulties of ERP implementations have been widely cited in the literature but research on the critical factors for initial and ongoing ERP implementation success is rare and fragmented. Through a comprehensive review of the literature, 11 factors were found to be critical to ERP implementation success – ERP teamwork and composition; change management program and culture; top management support; business plan and vision; business process reengineering with minimum customization; project management; monitoring and evaluation of performance; effective communication; software …
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Supervised Adaptive Resonance Theory is a family of neural networks that performs incremental supervised learning of recognition categories (pattern classes) and multidimensional maps of both binary and analog patterns. This chapter highlights that the supervised ART architecture is compatible with IF-THEN rule-based symbolic representation. Specifically, the knowledge learned by a supervised ART system can be readily translated into rules for interpretation. Similarly, a priori domain knowledge in the form of IF-THEN rules can be converted into a supervised ART architecture. Not only does initializing networks with prior knowledge improve predictive accuracy and learning efficiency, the inserted symbolic knowledge can also …