Obiettivo We intend to develop a new approach to the design of infohabitants, bringing experimental methods from the empirical sciences into the design process.Experiments conducted in our laboratory framework will allow us to relate key design decisions to aggregate behaviour of large laboratory ecosystems.This forms a virtuous cycle in which the results of empirical experiments based on an original set of design variables allows us better:to understand their appropriate use;to hypothesise new design decision;and thus to perform yet more insightful experiments.A second virtuous cycle relates to behaviours to form hypotheses about the large-scale driving forces which might be expected in real systems and comparing these "pure" results to those observed in practice - with discrepancies guiding the search for new driving forces.We intend to develop a new approach to the design of info habitants, bringing experimental methods from the empirical sciences into the design process. Experiments conducted in our laboratory framework will allow us to relate key design decisions to aggregate behaviour of large laboratory ecosystems.This forms a virtuous cycle in which the results of empirical experiments based on an original set of design variables allows us better:to understand their appropriate use;to hypothesise new design decision;and thus to perform yet more insightful experiments.A second virtuous cycle relates to behaviours to form hypotheses about the large-scale driving forces which might be expected in real systems and comparing these "pure" results to those observed in practice - with discrepancies guiding the search for new driving forces.OBJECTIVESTo develop a re-usable experimental framework in which driving forces of ecosystem dynamics can be explored and used to inform key design decisions in species of infohabitants.Definition of a minimal, core modelling language for describing resource utilisation and information exchange between infohabitants.Definition of a set of design principles and hazard analyses (supported by experimental analysis and neutral to software design method) which are key to the success of species of infohabitants in open, loosely structured ecosystems.Case studies relating the observed or reported behaviour of existing, large scale, distributed systems to the responses predicted by laboratory experiments.Analysis of the divergence between experimental predictions and case studies, with the aim of identifying potential additional driving forces.DESCRIPTION OF WORKThe principal aim of this project is to develop a new approach to the design of infohabitants which brings experimental methods from the empirical sciences into the design process. This will be done by building a laboratory framework in which controlled experiments can be performed on ecosystems formed from species of info habitants, with the behaviour of members of each species being determined by key design decisions made during their construction.These design decisions are the variables in our experimental framework and by exploring the changes in aggregate behaviour of the ecosystem when we change these decisions we gain an experimental understanding of the relationship between these aspects of design and ecosystem behaviour under laboratory conditions. This forms a virtuous cycle in which the results of empirical experiments based on an original set of design variables allows us better to understand appropriate use of these variables; to hypothesise new design decisions; and thus to perform yet more insightful experiments. This laboratory framework provides part of the foundation for scientific study of information ecosystems and their design but it also strengthens practice through the production of design rules and investigation of real systems. The contribution to design rules is through the insights into the effects of design choices on ecosystem behaviour, gained through our experiments and necessary in order to make design choices, which respect the integrity of the ecosystem. Understanding of real systems is strengthened by using our laboratory behaviours to form hypotheses about the large-scale driving forces which might be expected in real systems and comparing these "pure" results to those observed in practice - with discrepancies driving he search for new driving forces. Campo scientifico natural sciencescomputer and information sciencessoftwarenatural sciencesbiological sciencesecologyecosystems Programma(i) FP5-IST - Programme for research, technological development and demonstration on a "User-friendly information society, 1998-2002" Argomento(i) 1.1.2.-6.2.2 - FET P2: Universal information ecosystems Invito a presentare proposte Data not available Meccanismo di finanziamento CSC - Cost-sharing contracts Coordinatore THE UNIVERSITY OF EDINBURGH Contributo UE Nessun dato Indirizzo OLD COLLEGE, SOUTH BRIDGE EH8 9YL EDINBURGH Regno Unito Mostra sulla mappa Costo totale Nessun dato Partecipanti (2) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS Spagna Contributo UE Nessun dato Indirizzo C/SERRANO 117 MADRID Mostra sulla mappa Collegamenti Sito web Opens in new window Costo totale Nessun dato THE UNIVERSITY OF LIVERPOOL Regno Unito Contributo UE Nessun dato Indirizzo ABERCROMBY SQUARE L69 3BX LIVERPOOL Mostra sulla mappa Costo totale Nessun dato
