- Date:
- 1999-2001
- Theme:
- Machine Learning
- Funding:
- Unilever
The aim of this project is to develop parsimonious models for regression and classification based on kernel methods, to provide enhanced visualisation and generalisation in empirical modelling.
Primary investigator
Secondary investigator
- jg
Partner
- Unilever
Associated research group
- Information: Signals, Images, Systems Research Group
- Date:
- 2003-2008
- Themes:
- Agent Based Computing, E-Business Technologies, Grid and Distributed Computing, Decentralised Information Systems, Machine Learning, Sensor Technology
- Funding:
- Defence and Aerospace Research Partnerships (DARP), EPSRC, DTI, Ministry of Defence
The aim of this project is to perform the formative research required to construct a reactive decentralised data fusion system and to demonstrate its value in industrially relevant applications. Such a system must fuse information from disparate and varied sources, whilst coping with unreliable data and limited communication bandwidth, in a time critical environment.
The core of the project concerns the integration of agent technologies and Bayesian statistical methods, and we are working on this aspect with academic partners at Oxford University. We are specifically interested in designing the mechanisms by which self interested agents will trade for information, computation resources and bandwidth. The goal of this work is to ensure that the self-interested actions of the individual agents results in desirable system-wide properties.
The project involves three industrial partners, each of whom is providing a distinct application area - BAE SYSTEMS, Rolls-Royce and QinetiQ. The project is a Defence Aerospace and Research Partnerships (DARP) project, with joint funding from the Department of Trade and Industry (DTI), the Ministry of Defence (MoD) and the Engineering and Physical Sciences Research Council (EPSRC).
Primary investigators
- Nick Jennings
- acr
Secondary investigators
- tr
- pv
Partners
- Oxford University
- BAE Systems
- Rolls Royce
- QinetiQ
Associated research groups
- Intelligence, Agents, Multimedia Group
- Agents, Interaction and Complexity
- Date:
- 2002-2007
- Theme:
- Pervasive Computing and Networks
MAST is a set of audio streaming tools using RTP over IPv6 (and IPv4) Multicast.
Primary investigator
- njh
Associated research group
- Intelligence, Agents, Multimedia Group
- Date:
- 2002-2003
- Theme:
- Multimedia
Primary investigator
- njh
Associated research group
- Intelligence, Agents, Multimedia Group
- Date:
- 2001-2008
- Themes:
- Agent Based Computing, E-Business Technologies
Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what auctions. They can do this continuously and repetitively without losing concentration. To provide a means of evaluating and comparing (benchmarking) research methods in this area the Trading Agent Competition (TAC). This competition involves a number of agents bidding against one another in a number of related auctions (operating different protocols) to purchase travel packages for customers. Our agent, WhiteDolphin, is one of the most successful participants in the last two competitions.
We are now participating in a new competition , the CATallaxy competition (CAT) where the focus is on designing marketplaces.
Primary investigators
- Nick Jennings
- pv
- bs07r
- iv
- Date:
- 2002-2004
- Themes:
- e-Science, Grid and Distributed Computing, Knowledge Technologies
- Funding:
- EPSRC (GR/N15764/01)
CoAKTinG (Collaborative Advanced Knowledge Technologies in the Grid) is a project that started in June 2002 and runs for 24 months. It is funded by the UK e-Science Programme.
The Objective is to advance the state of the art in collaborative mediated spaces for distributed e-Science collaboration through the novel application of advanced knowledge technologies such as:
- Ontologies to enhance multi-modal and multi-media time phased group discussions and problem solving
- Knowledge-based planning and task support to enhance issue-based process/activity discussions
- Scholarly discourse and argumentation to enhance collaborative meeting structures
- Presence and visualisation to enhance group peripheral awareness at a distance
Primary investigators
- David De Roure
- Nigel Richard Shadbolt
- Simon Buckingham-Shum
- Marc Eisenstadt
- Austin Tate
Secondary investigators
- Danius Michaelides
- Jessica Chen-Burger
- Michelle Bachler
- Stephen Potter
- Jiri Komzak
- krp
- njh
- rmb00r
- bpj00r
- John Domingue
- Enrico Motta
- Jeff Dalto
- John Levine
- Jussi Stader
- Natasha Lino
- Clauirton Siebra
Partners
- KMi, Open University
- AIAI, University of Edinburgh
Associated research group
- Intelligence, Agents, Multimedia Group
- Date:
- 2000-2002
- Theme:
- Knowledge Technologies
- Date:
- 2000-2003
- Theme:
- Agent Based Computing
- Funding:
- EU (IST 1999-29003)
The long term objective of AgentLink II is to put Europe at the leading edge of international competitiveness in the area of agent-based computing. The medium term goals of AgentLink II are:
- to gain competitive advantage for European industry by promoting and raising awareness of agent systems technology;
- to facilitate improvement in the standard, profile, and industrial relevance of European research in the area of agent-based computer systems;
- to promote excellence of teaching and training in the area of agent-based systems;
- to provide a widely known, high quality European forum in which current issues, problems, and solutions in the research and development of agent-based computer systems may be debated and resolved.
Primary investigator
- mml
Associated research group
- Intelligence, Agents, Multimedia Group
- Date:
- 2001-2001
- Themes:
- Web Science, E-Business Technologies
Management reporting is a complex, multistage activity which takes place in the context of other business processes and makes use of the multiple information systems that may have been provided for other purposes -- general documentation, project management, financial control, email communication and business presentation. Managers treat information from these sources as ``harvestable, contextualisable data'', which is combined, summarised, and reinterpreted in management reports.
However, most of the activities employed in report creation are often supported only peripherally by an organisation's IT infrastructure. In our scenario, the only support which the management team enjoyed were in document creation (Microsoft Office) and a shared (albeit ad-hoc) storage environment, where organisation and discovery was achieved by the judicious use of file naming and directory organisation. The remaining areas were filled in by human nous, effort, memory and detective work.
This project attempts to relate the management reporting process to existing Web, open hypermedia, and Semantic Web research, and describe why we chose to develop a bespoke solution - the Management Reporting System (MRS) - rather than employ an existing system to support this process. MRS combines elements of open hypermedia (fitting hypertext functionality to the tools and environments that the author naturally uses), document creation (rather than link or annotation creation or document storage) and knowledge reuse (instead of text reuse), to provide support for Web-based management reporting.
Primary investigators
Secondary investigators
- tmb
- Simon Kampa
Associated research group
- Intelligence, Agents, Multimedia Group