A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied are ....A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied areas of computing, where simulating advanced forms of social behaviour and cognition, including deception, will become increasingly significant.Read moreRead less
Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associ ....Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associated mechanisms for proactive identification, prevention and mediation of cloud service-level agreement violation in the best interest of the cloud users. The findings of the project will support enterprises across Australian economy in shifting from traditional IT systems to the ubiquitous cloud computing that has already been recognised as a core enabling IT technology in addressing the societal challenge of lifting productivity and economic growth in a rapidly changing world economy.Read moreRead less
Decision making for lifetime affordable and tenable city housing. This project will study home buying decisions and outcomes and use this to provide new insights into housing affordability and liveability. The project will develop an innovative software tool for Australia's home buyers to explore affordability and liveability during home buying, and agent-based modelling of scenarios for urban development futures.
Enabling small businesses to more cost-effectively use big data on cloud computing platforms. This project will invent a new generic cost model for managing big data in cloud computing. This model will enable agent-based, innovative data management technologies to reduce the cost of storage, computation and bandwidth consumption in the cloud. Outcomes will enable small businesses to use big data in cloud computing more cost effectively.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Integrating and automating testing in multi-agent system development. This research will provide mechanisms that facilitate easier and more thorough testing of multi-agent systems. Multi-agent technology is extremely powerful and can save businesses substantial time and effort in developing complex systems. Automated testing will ensure that systems built using this technology are more robust, and will also enable substantial savings in time required for testing. Multi agent systems are notorio ....Integrating and automating testing in multi-agent system development. This research will provide mechanisms that facilitate easier and more thorough testing of multi-agent systems. Multi-agent technology is extremely powerful and can save businesses substantial time and effort in developing complex systems. Automated testing will ensure that systems built using this technology are more robust, and will also enable substantial savings in time required for testing. Multi agent systems are notoriously difficult to test, due to their complexity. However the approaches used in this project will enable intelligent generation of test cases that are potentially difficult, and also generation of test cases that are based on specified functionality.Read moreRead less
Tools, methodologies and reasoning support for developing companion-toy modules. This project investigates building of modules for an intelligent Toy which can be customised and adapted over time by add-on modules. Intelligent interactive toys are growing in popularity, and the ability for such a toy to develop over a prolonged lifetime, is both a sound business idea and a mechanism for extending the useful life of the Toy.
Smart quality management for service-based systems in cloud environment. Cloud computing is a rapidly growing paradigm for Software-as-a-Service (SaaS). For enabling broad applications of a huge number of services available in the cloud, quality management for service-based systems is critical. This project aims to cover smart quality management for the whole lifetime of SaaS from service composition to service delivery. The project is expected to offer a novel solution for managing both build-t ....Smart quality management for service-based systems in cloud environment. Cloud computing is a rapidly growing paradigm for Software-as-a-Service (SaaS). For enabling broad applications of a huge number of services available in the cloud, quality management for service-based systems is critical. This project aims to cover smart quality management for the whole lifetime of SaaS from service composition to service delivery. The project is expected to offer a novel solution for managing both build-time service selection and runtime service monitoring and adaptation by inventing corresponding innovative efficient and effective strategies for quality management. Given the prediction that the SaaS market will grow from $13.5 billion in 2011 to $32.8 billion in 2016, the success of this project is anticipated to translate into scientific and economic value.Read moreRead less
Foundations of human-agent collaboration: situation-relevant information sharing. As automated systems become more sophisticated in their capabilities, the design of effective interaction with human operators becomes more demanding. Outcomes from this project will support the development of human-automation teams that can coordinate and collaborate in fast changing task environments.
Spoken conversational search: contextual interactive techniques to support effective information search over a speech-only communication channel. This project will develop new techniques for effective information search using speech only, supporting improved information access for visually impaired people or in situations that require focused visual attention (e.g. driving). The techniques are based on a conversational approach to information search and presentation of results.