Meta-Ontology based Protocols for the Cooperation in Heterogeneous Agent Systems. Cooperation and communication are two important research issues in the area of multi-agent systems and distributed artificial intelligence. The aim of this project is to study and develop meta-ontology based protocols for cooperation in multi-agent systems. The outcomes of the project include semantics of meta-ontology, a conceptual model to encompass the defined semantics, implementation of the model, and test res ....Meta-Ontology based Protocols for the Cooperation in Heterogeneous Agent Systems. Cooperation and communication are two important research issues in the area of multi-agent systems and distributed artificial intelligence. The aim of this project is to study and develop meta-ontology based protocols for cooperation in multi-agent systems. The outcomes of the project include semantics of meta-ontology, a conceptual model to encompass the defined semantics, implementation of the model, and test results in an open environment. The Key Laboratory of Intelligent Information Processing at Institute of Computing Technology, Chinese Academy of Sciences, is very active in the area of distributed artificial intelligence and agent technologies, and is an ideal partner for this project.Read moreRead less
Foundations of Nonmonotonic Logic Programming for Complex Knowledge Systems. This project will fundamentally provide a new paradigm of nonmonotonic logic programming. As such, it will significantly contribute towards Australia's leading role in the cutting edge research of intelligent systems development. The new nonmonotonic logic programming can be used as an effecive platform by many Australian computer companies for building complex knowledge systems in real world domains. Hence this projec ....Foundations of Nonmonotonic Logic Programming for Complex Knowledge Systems. This project will fundamentally provide a new paradigm of nonmonotonic logic programming. As such, it will significantly contribute towards Australia's leading role in the cutting edge research of intelligent systems development. The new nonmonotonic logic programming can be used as an effecive platform by many Australian computer companies for building complex knowledge systems in real world domains. Hence this project has potential economic and social benefits for Australia. With a very strong research team across different universities and a collaborative research training environment, this project will further enhance Australia's international reputation as a leader in computing & IT research.Read moreRead less
Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected ....Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected outcomes include the
development of software that allows the solution of hitherto unsolved machine
learning problems, and the ability to solve problems larger than those solvable
by the current generation of machine learning tools.Read moreRead less
Developing optimal synthesis strategies in distributed expert systems. The aim of this project is to investigate synthesis strategies in distributed expert systems (DESs). Such strategies are used to synthesize multiple solutions to the same task from different experts (either human experts or expert systerms) in order to obtain the final solution to the task. These strategies could be used in a wide application of domains such as insurance agencies and medical diagnosis systems. The expected ....Developing optimal synthesis strategies in distributed expert systems. The aim of this project is to investigate synthesis strategies in distributed expert systems (DESs). Such strategies are used to synthesize multiple solutions to the same task from different experts (either human experts or expert systerms) in order to obtain the final solution to the task. These strategies could be used in a wide application of domains such as insurance agencies and medical diagnosis systems. The expected outcomes are to develop computational strategies, neural network strategies, and case-based strategies for solving different synthesis cases.Read moreRead less
The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectiv ....The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectivity distributions to preserve distinct pattern classes yet allow model radical shifts in paradigms, and develop algorithms for autonomous connectivity optimisation. We investigate nonlinear process such as solitons and random Boolean networks as realisations of these principles.Read moreRead less
Foundations of Executable Temporal Logic. In many computer applications, including those of temporal reasoning, distributed computations and knowledge representations, the concept of time is of central importance. Multiple granularity of time also plays a critical role as not all events are necessarily defined over a uniform model of time. This project will develop the foundations of executable logical representations, supporting multiple granularity of time. This will allow system developers a ....Foundations of Executable Temporal Logic. In many computer applications, including those of temporal reasoning, distributed computations and knowledge representations, the concept of time is of central importance. Multiple granularity of time also plays a critical role as not all events are necessarily defined over a uniform model of time. This project will develop the foundations of executable logical representations, supporting multiple granularity of time. This will allow system developers access to powerful logical techniques in those applications. In the process, fundamental problems in modelling multiple granularity of time will be identified, and application-independent solutions to those problems will be provided.Read moreRead less