Adaptive Intelligent Modelling for the Social Sciences

Principal Investigator - Dr Georgios K. Theodoropoulos (G.K.Theodoropoulos@cs.bham.ac.uk)

Co-Principal Investigators - Prof. Chris Skelcher, Peter Lee

Start Date - January 2006

Duration - 12 months

Location - University of Birmingham

The AIMSS project (Adaptive Intelligent Modelling for the Social Sciences) is an investigation into the feasibility of "Dynamic Data-Driven Application Simulation" (DDDAS) for the social sciences and in particular for policy decision support. Data-driven simulation involves the automated absorption of data into an ongoing simulation and the online adaptation of the simulation so that its predictions correspond more closely to reality. A social science application of the DDDAS paradigm is feasible and can be understood as software assistance for evidence-driven model development.
This is expected to be a semi-automated process combining user interaction with machine discovery, reasoning and model adaptation. The AIMSS project will deliver a software prototype to demonstrate some capabilities required of a semi-automated system. These capabilities include the interpretation of simulation content, the detection of discrepancies between the simulation and the data content and the automated recommendation of changes to be made to the simulation as necessary.

Presentations

The Need for a Social Science Ontology to Support Data-Driven Social Simulations
C. Kennedy, University of Birmingham
2nd International Conference on e-Social Science, Manchester, 28 ¨C 30 June 2006

Presentation

Assisted Model Building in the Social Sciences using Data Driven Simulation
P. Lee, E. Ferrari, C. Kennedy, G. Theodoropoulos, C. Skelcher, University of Birmingham
2nd International Conference on e-Social Science, Manchester, 28 ¨C 30 June 2006

Presentation

Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences
C. Kennedy, University of Birmingham
International Conference on Computational Science (ICCS) 2006, Reading, 28 ¨C 31 May 2006

Presentation

Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences
G. Theodoropoulos, University of Birmingham
20th Workshop on Principles of Advanced and Distributed Simulation (PADS
2006), Singapore, 23 - 26 May 2006

Presentation

Publications

Assisted Model Building in the Social Sciences using Data Driven Simulation
P. Lee, E. Ferrari, C. Kennedy, G. Theodoropoulos, C. Skelcher, University of Birmingham
Published in the Proceedings of the 2nd International Conference on e-Social Science, Manchester, 28 - 30 June 2006

Paper

Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences
C. Kennedy, G. Theodoropoulos, University of Birmingham
Published in the Proceedings of the Workshop on Dynamic Data-Driven Applications Simulation, ICCS 2006, Reading, 28 ¨C 31 May 2006.
V.N. Alexandrov et al. (Eds.): ICCS 2006, Part III, LNCS 3993, pp. 562--569. Springer-Verlag Berlin Heidelberg, May 2006.

Paper

Towards Intelligent Data-Driven Simulation for Policy Decision Support in the Social Sciences
C. Kennedy, G. Theodoropoulos, University of Birmingham
Technical Report CSR-05-9, University of Birmingham, School of Computer Science, October 2005

Paper

AIMSS: An Architecture for Data Driven Simulations in the Social Sciences
C. Kennedy, G. Theodoropoulos, V. Sorge, E. Ferrari, P. Lee, and C. Skelcher
Workshop on Dynamic Data-Driven Applications Simulation at ICCS 2007, Beijing, China, UK. May 2007. Y. Shi et al. (Eds.): ICCS 2007, Part I, LNCS 4487, pp. 1098¨C1105, Springer-Verlag Berlin Heidelberg 2007

Paper (248KB)

Towards an Automated Approach to Dynamic Interpretation of Simulations
C. Kennedy, G. Theodoropoulos, E. Ferrari, P. Lee, and C. Skelcher
Asia Modelling Symposium 2007, in conjunction with Thailand's 11th Annual National Symposium on Computational Science and Engineering ( ANSCSE-11 ), Prince of Songkla University, Phuket Campus, March 2007.

Paper (243KB)