Zoekresultaten

On the Construction of an Enterprise Architecture Course; a Framework for the Description of Compentencies

The challenge: to construct an Enterprise Architecture course with a size of 15 European Credit points (approx. 400 hours of study) for an audience of Bachelor students in IT. The students have an IT-related job and follow this course part-time. Consequently, contact time is restricted to one evening per week.

Contagious ideas and cognitive artefacts

This historical review uncovers the institutionalisation and diffusion of the SWOTanalysis by assessing academic literature, seminar materials, proprietary research reports and interviews with experts from the virus theory perspective. We suggest that reviews of the SWOT analysis using the management fashion theory perspective are inadequate in explaining the diffusion and rejection of ideas born in practice. The virus theory perspective starts at an organizational level and reveals that predominantly practitioners were instrumental in spreading the ideas like participatory planning and distinguishing between short term and long range planning in order to resolve the planning paradox in provisional planning. Due to mutations in practice by consulting firms, the 2x2 matrix of SWOT became a cognitive artefact on its own. Theoretical roots of the original SWOT analysis stem from psychology and behavioural sciences.It is questionable if current strategy textbooks reflect these theoretical backgrounds.

Towards media architecture

An invariants based architecture for combining small and large data sets in neural networks

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the intermediate layers, which can then be combined with a priori knowledge or with other predictive analyses of the same data. This leads to smaller training datasets due to more efficient learning. In addition, because this architecture allows inclusion of a priori knowledge and interpretable predictive models, the interpretability of the entire system increases while the data can still be used in a black box neural network. Our system makes use of networks of neurons rather than single neurons to enable the representation of approximations (invariants) of the output.

Navigating Interactive Story Spaces

Over the past decade, journalists have created in-depth interactive narratives to provide an alternative to the relentless 24-hour news cycle. Combining different media forms, such as text, audio, video, and data visualisation with the interactive possibilities of digital media, these narratives involve users in the narrative in new ways. In journalism studies, the convergence of different media forms in this manner has gained significant attention. However, interactivity as part of this form has been left underappreciated. In this study, we scrutinise how navigational structure, expressed as navigational cues, shapes user agency in their individual explorations of the narrative. By approaching interactive narratives as story spaces with unique interactive architectures, in this article, we reconstruct the architecture of five Dutch interactive narratives using the walkthrough method. We find that the extensiveness of the interactive architectures can be described on a continuum between closed and open navigational structures that predetermine and thus shape users’ trajectories in diverse ways.

A lazy brain? Embodied Embedded Cognition and Cognitive Neuroscience.

From the article: Abstract Over the last decades, philosophers and cognitive scientists have argued that the brain constitutes only one of several contributing factors to cognition, the other factors being the body and the world. This position we refer to as Embodied Embedded Cognition (EEC). The main purpose of this paper is to consider what EEC implies for the task interpretation of the control system. We argue that the traditional view of the control system as involved in planning and decision making based on beliefs about the world runs into the problem of computational intractability. EEC views the control system as relying heavily on the naturally evolved fit between organism and environment. A ‘lazy’ control structure could be ‘ignorantly successful’ in a ‘user friendly’ world, by facilitating the transitory creation of a flexible and integrated set of behavioral layers that are constitutive of ongoing behavior. We close by discussing the types of questions this could imply for empirical research in cognitive neuroscience and robotics.