Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different lear ....Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different learning processes, their comparison will give insight into the basic cognitive process of categorisation. The algorithms for generating feature representations and modelling human category learning will also have potential for application in data visualisation and information handling systems.Read moreRead less
Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and t ....Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and the way in which they change over time. The profiles will be tied to marketing prospects through interviews and surveys. Applied benefits include the ability to predict, understand and act upon user behaviour. The project also adds substantially to theories of memory, individual differences and decision-making.Read moreRead less
Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure present ....Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure presents the opportunity to discover how an intelligent thinking system should operate. In addition, many important problems facing an information economy involve being able to understand how people behave. An understanding of the concepts people use is central to this endeavour.Read moreRead less
How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.
Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diag ....Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diagnosing underlying processes from behavioural data. The project is expected also to develop a new computational model that accounts for both inductive and deductive forms of reasoning.Read moreRead less
Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits ....Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits such as understanding how people operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.Read moreRead less
Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies me ....Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies merge or enter into
consumer-producer relationships and constitutes a key capability for B2B e-commerce
systems. Consistency criteria for behaviour integration
will be defined and applied in a graphical integration tool that guides the
definition of global behavioural views upon autonomous object-oriented systems.
Read moreRead less
Dynamic Semantic Interoperability for Business Processes. The integration of independently developed applications constitutes
one of the major bottlenecks in modern software development in
business, industry, and defense, in particular for a nation such as
Australia that is highly reliant on overseas trade. Technologies that
facilitate the smooth application integration promise significant
savings in software development. By offering automated support task,
this project offers the potenti ....Dynamic Semantic Interoperability for Business Processes. The integration of independently developed applications constitutes
one of the major bottlenecks in modern software development in
business, industry, and defense, in particular for a nation such as
Australia that is highly reliant on overseas trade. Technologies that
facilitate the smooth application integration promise significant
savings in software development. By offering automated support task,
this project offers the potential of significant cost savings, highly
beneficial to any industry with a major ICT component. Lessons learned
from the demonstration prototype can be directly carried over into
commercial tool development. The project strengthens links to high
quality European research laboratories.
Read moreRead less
Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost ....Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost savings, highly beneficial to
the ICT industry. Lessons learned from the demonstration prototype,
can be directly carried over into commercial tool development. In
addition, the project strengthens links to high quality European
research laboratories.Read moreRead less
Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This pr ....Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This project will establish a software-based nonlinear networked control system platform to test the presented algorithms and strengthen the scenarios in applications. This project is expected to increase Australian excellence in cyber-security and advanced manufacturing.Read moreRead less