Knowledge Discovery in Discretionary Legal Domains. The development of legal decision support systems in discretionary domains will lead to: (1) Consistency; (2) Transparency; (3) Efficiency; and (4) Enhanced support for dispute resolution. The researchers on this project have been using the World Wide Web to disseminate legal knowledge.
With the collaboration of Victoria Legal Aid and JUSTSYS, we propose to use knowledge discovery from databases and argumentation techniques to model how discre ....Knowledge Discovery in Discretionary Legal Domains. The development of legal decision support systems in discretionary domains will lead to: (1) Consistency; (2) Transparency; (3) Efficiency; and (4) Enhanced support for dispute resolution. The researchers on this project have been using the World Wide Web to disseminate legal knowledge.
With the collaboration of Victoria Legal Aid and JUSTSYS, we propose to use knowledge discovery from databases and argumentation techniques to model how discretionary legal decision-makers operate. A significant application of the research will be the construction of a prototype for assisting criminal law defense lawyers to make arguments with regard to their client's sentences.Read moreRead less
Intelligent Agents for Concept Invention of Design Forms. Concept invention refers to the act of discovering new concepts for the first time. Concept invention may require a new interpretation and a shift in intentional mode that motivates new mappings of the situation prior to the discovery of a new concept. This project is concerned with developing intelligent design agents that are capable of inventing creative concepts of design forms, shapes and compositions while involved in the design pr ....Intelligent Agents for Concept Invention of Design Forms. Concept invention refers to the act of discovering new concepts for the first time. Concept invention may require a new interpretation and a shift in intentional mode that motivates new mappings of the situation prior to the discovery of a new concept. This project is concerned with developing intelligent design agents that are capable of inventing creative concepts of design forms, shapes and compositions while involved in the design process. A new approach of exploiting the notion of displacement of concepts with regard to concept invention in designing will be adopted and utilised in developing the structure of intelligent agents.Read moreRead less
Complexity Measures Of Design Spaces As Basis For Mass Customisation Of Novel Designs. This project aims to develop, implement and test a means to determine the potential of any arbitrary design generator to produce a diversity of designs and to utilise that means to control the mass customisation of novel designs. Globalisation of markets has produced the need to be able to mass customise designs that are not simple variants of existing designs. Any improvement in Australia's capacity to provid ....Complexity Measures Of Design Spaces As Basis For Mass Customisation Of Novel Designs. This project aims to develop, implement and test a means to determine the potential of any arbitrary design generator to produce a diversity of designs and to utilise that means to control the mass customisation of novel designs. Globalisation of markets has produced the need to be able to mass customise designs that are not simple variants of existing designs. Any improvement in Australia's capacity to provide this service will improve both its internal efficiency and increase its competitiveness in the increasing international marketplace for designing through the production of the basis for a new class of designing tools.Read moreRead less
Curious Places: Agent-Mediated Self-Aware Worlds. This project develops and demonstrates a model of curious places: physical and digital environments that adapt their behaviour based on their experiences. This means that we can implement new kinds of places, rooms, public spaces, that respond to human activity and new technology by creating their own goals and behaviours. This is a benefit to Australia by expanding its capability in home automation and leading developments in novel human-comput ....Curious Places: Agent-Mediated Self-Aware Worlds. This project develops and demonstrates a model of curious places: physical and digital environments that adapt their behaviour based on their experiences. This means that we can implement new kinds of places, rooms, public spaces, that respond to human activity and new technology by creating their own goals and behaviours. This is a benefit to Australia by expanding its capability in home automation and leading developments in novel human-computer interfaces. This benefit can provide economic gain to Australia through the development of frontier technologies.Read moreRead less
Advanced Software Engineering Support for Intelligent Agent Systems. Software Agents are an important technology for developing the complex software systems that are increasingly required to meet the needs of society. A crucial obstacle to the widespread adoption of agent technology is the lack of an appropriate software engineering methodology. This project proposes to explore support for design processes addressing advanced issues in agent systems, such as goal-based requirements, debugging ....Advanced Software Engineering Support for Intelligent Agent Systems. Software Agents are an important technology for developing the complex software systems that are increasingly required to meet the needs of society. A crucial obstacle to the widespread adoption of agent technology is the lack of an appropriate software engineering methodology. This project proposes to explore support for design processes addressing advanced issues in agent systems, such as goal-based requirements, debugging using design artefacts, component-based design, and reuse. We will also extend the methodology to support teamwork and open systems. We will be building on successful work we have already done in establishing a basic agent oriented software design methodology.Read moreRead less
Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any th ....Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any threatened breakdown in the power system. Once identified, methods based on intelligent agents will be used to trigger the appropriate countermeasures to maintain the integrity of transmission grids.Read moreRead less
Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defi ....Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defined. The project will result in the development of a prototype system to support prediction of service levels. This system will be accessible to the Australian e-services industry via a web interface.Read moreRead less
Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthca ....Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments.Read moreRead less
Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures. We are developing systematic, heuristic and mathematical techniques to produce effective fuzzy systems for complex structured data. Many or most real world problems have data which has interdependent sub-components depending on the context (eg only female patients need be tested for pregnancy), and often has missing components. Our techniques use fuzzy signatures to extend simple fuzzy systems to deal with data with such ....Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures. We are developing systematic, heuristic and mathematical techniques to produce effective fuzzy systems for complex structured data. Many or most real world problems have data which has interdependent sub-components depending on the context (eg only female patients need be tested for pregnancy), and often has missing components. Our techniques use fuzzy signatures to extend simple fuzzy systems to deal with data with such complex (sub-)structure. This produces effective fuzzy systems with wide applicability to real problems, in telecommunications, and petroleum reservoir data.Read moreRead less
Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by ....Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software.
Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.Read moreRead less