66,017 research outputs found
Co-evolution of RDF Datasets
Linking Data initiatives have fostered the publication of large number of RDF
datasets in the Linked Open Data (LOD) cloud, as well as the development of
query processing infrastructures to access these data in a federated fashion.
However, different experimental studies have shown that availability of LOD
datasets cannot be always ensured, being RDF data replication required for
envisioning reliable federated query frameworks. Albeit enhancing data
availability, RDF data replication requires synchronization and conflict
resolution when replicas and source datasets are allowed to change data over
time, i.e., co-evolution management needs to be provided to ensure consistency.
In this paper, we tackle the problem of RDF data co-evolution and devise an
approach for conflict resolution during co-evolution of RDF datasets. Our
proposed approach is property-oriented and allows for exploiting semantics
about RDF properties during co-evolution management. The quality of our
approach is empirically evaluated in different scenarios on the DBpedia-live
dataset. Experimental results suggest that proposed proposed techniques have a
positive impact on the quality of data in source datasets and replicas.Comment: 18 pages, 4 figures, Accepted in ICWE, 201
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Co-evolving problems and solutions: The case of novice interaction designers in Botswana and the UK
This paper establishes that problem-solution co-evolution is observed in novice interaction designers in the UK and Botswana. However, in the majority of Botswana protocols we could see a new type of co-evolution, which we termed solution-problem co-evolution. Solution- problem co-evolution uses ‘off the shelf’’ solutions to structure the problem space. Both types of co-evolution are described and discussed in this paper. The findings are drawn from the analysis of 18 (5 UK, 13 Botswana) 1-hour design protocols from two cohorts of students studying the same undergraduate Open University Interaction Design module, one in Botswana and one in the UK. Participants were required to complete a medical interaction design task under controlled conditions. We based our analysis on a coding scheme that was developed specifically for this protocol study. The coding scheme is based on Schön’s seminal work on reflective practice. It visually represents activities in the problem and solutions spaces
Co-evolution and networks adaptation.
What is the role of co-evolution in the adaptation of a population of firms to a hostile environment ? To answer this question, we revisit network sociology starting from Kauffman s biological computer model. We apply a qualitative methodology to update exploitation and exploration mechanisms in nine Japanese interfirm networks. From these results, this article draws a typology of the adaptation forms, distinguishing pack, migratory, herd and colony networks.Sociologie des organisations; Réseaux d’entreprises;
Cooperative co-evolution of GA-based classifiers based on input increments
Genetic algorithms (GAs) have been widely used as soft computing techniques in various
applications, while cooperative co-evolution algorithms were proposed in the literature to improve the
performance of basic GAs. In this paper, a new cooperative co-evolution algorithm, namely ECCGA, is
proposed in the application domain of pattern classification. Concurrent local and global evolution and
conclusive global evolution are proposed to improve further the classification performance. Different
approaches of ECCGA are evaluated on benchmark classification data sets, and the results show that
ECCGA can achieve better performance than the cooperative co-evolution genetic algorithm and normal GA.
Some analysis and discussions on ECCGA and possible improvement are also presented
THE CO-EVOLUTION OF MATTER AND CONSCIOUSNESS
Theories about the evolution of consciousness relate in an intimate way to theories about the distribution of consciousness, which range from the view that only human beings are conscious to the view that all matter is in some sense conscious. Broadly speaking, such theories can be classified into discontinuity theories and continuity theories. Discontinuity theories propose that consciousness emerged only when material forms reached a given stage of evolution, but propose different criteria for the stage at which this occurred. Continuity theories argue that in some primal form, consciousness always accompanies matter and as matter evolved in form and complexity consciousness co-evolved, for example into the forms that we now recognise in human beings. Given our limited knowledge of the necessary and sufficient conditions for the presence of human consciousness in human brains, all options remain open. On balance however continuity theory appears to be more elegant than discontinuity theory
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The Co-evolution of Institutions and Technology
We propose a model of growth driven by the co-evolution of institutions and technology. To be consistent with Douglass North (1990, 1991, 1994), institutions are defined as a type of collective knowledge about a specific environment that can prescribe how to adapt general technology before the latter can be actually used. Institutions, then, are treated as a factor in the innovation process, and as such can be purposely accumulated. The simultaneous accumulation of institutions and technology are modeled as an evolutionary game whereby boundedly-rational .rms choose how much to allocate to ‘institutional spending’ vis-a-vis research expenditures, in anticipation of changes in monopoly pro.ts from technological innovation. Using Taylor and Jonker’s (1978) Replicator Dynamics to describe the evolution of such strategies, we are able to show how this transition process converges to the steady state model of Romer (1990)
Architecture and Co-Evolution of Allosteric Materials
We introduce a numerical scheme to evolve functional materials that can
accomplish a specified mechanical task. In this scheme, the number of
solutions, their spatial architectures and the correlations among them can be
computed. As an example, we consider an "allosteric" task, which requires the
material to respond specifically to a stimulus at a distant active site. We
find that functioning materials evolve a less-constrained trumpet-shaped region
connecting the stimulus and active sites and that the amplitude of the elastic
response varies non-monotonically along the trumpet. As previously shown for
some proteins, we find that correlations appearing during evolution alone are
sufficient to identify key aspects of this design. Finally, we show that the
success of this architecture stems from the emergence of soft edge modes
recently found to appear near the surface of marginally connected materials.
Overall, our in silico evolution experiment offers a new window to study the
relationship between structure, function, and correlations emerging during
evolution.Comment: 6 pages, 5 figures, SI: 2 pages, 4 figure
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