All Outputs (25)

Analysing the playground: sensitizing concepts to inform systems that promote playful interaction (2011)
Book Chapter
Rennick-Egglestone, S., Walker, B., Marshall, J., Benford, S., & McAuley, D. (2011). Analysing the playground: sensitizing concepts to inform systems that promote playful interaction. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-computer interaction - INTERACT 2011:13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011: proceedings. Lisbon, Portugal: Springer. https://doi.org/10.1007/978-3-642-23774-4

Playful interaction in an important topic in HCI research, and there is an ongoing debate about the fundamental principles that underpin playful systems. This paper makes a contribution to this debate by outlining a set of sensitizing concepts which... Read More about Analysing the playground: sensitizing concepts to inform systems that promote playful interaction.

Following Roman waterways from a computer screen: GIS-based approaches to the analysis of Barcino’s aqueducts (2011)
Book Chapter
Orengo, H. A., & Miró, C. (2011). Following Roman waterways from a computer screen: GIS-based approaches to the analysis of Barcino’s aqueducts. In J. Verhagen, A. Posluschny, & A. DanielisovÃ�Â�Ã�¡ (Eds.), Go your own least cost path: spatial technology and archaeological interpretation: proceedings of the GIS session at EAA 2009, Riva del Garda. Archaeopress

From the 1950's until today the Roman colony of Barcino (modern Barcelona) has been believed to posses two aqueducts. One was transporting water from the Montcada mountains and the other one from the Collserola range. In this article, GIS-based least... Read More about Following Roman waterways from a computer screen: GIS-based approaches to the analysis of Barcino’s aqueducts.

Non-linear great deluge with reinforcement learning for university course timetabling (2011)
Book Chapter
Obit, J. H., Landa-Silva, D., Sevaux, M., & Ouelhadj, D. (2011). Non-linear great deluge with reinforcement learning for university course timetabling. In M. Caserta, & S. Voss (Eds.), Metaheuristics: intelligent decision making. Springer

This paper describes a non-linear great deluge hyper-heuristic incorporating a reinforcement learning mechanism for the selection of low-level heuristics and a non-linear great deluge acceptance criterion. The proposed hyper-heuristic deals with comp... Read More about Non-linear great deluge with reinforcement learning for university course timetabling.

Simulating the dynamics of T cell subsets throughout the lifetime (2011)
Book Chapter
Foan, S., Jackson, A. M., Spendlove, I., & Aickelin, U. (2011). Simulating the dynamics of T cell subsets throughout the lifetime. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Springer

It is widely accepted that the immune system undergoes age-related changes correlating with increased disease in the elderly. T cell subsets have been implicated. The aim of this work is firstly to implement and validate a simulation of T regulatory... Read More about Simulating the dynamics of T cell subsets throughout the lifetime.

Systems dynamics or agent-based modelling for immune simulation? (2011)
Book Chapter
Figueredo, G. P., Aickelin, U., & Siebers, P. (2011). Systems dynamics or agent-based modelling for immune simulation?. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Springer

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem.... Read More about Systems dynamics or agent-based modelling for immune simulation?.