Chris Skelcher

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This paper presents a prototype implementation of an intelligent assistance architecture for data-driven simulation specialising in qualitative data in the social sciences. The assistant architecture semi-automates an iterative sequence in which an initial simulation is interpreted and compared with real-world observations. The simulation is then adapted so(More)
Representation and interpretation of simulation semantic content is a challenging problem at the heart of issues such as simulation composability and symbiotic simulation. This paper introduces an automated approach to dynamic online interpretation of simulations using AI techniques. The approach is described in the context of agent-based social simulations
Agent-based simulation can help to predict policy impact and generate explanations of observed phenomena. However, the models underlying the simulations have to be based on evidence on the real world. The paradigm of Dynamic Data Driven Application Simulation (DDDAS) can improve the accuracy of a simulation's representation of reality by continually(More)
We propose a novel approach to theorizing hybridity in public and nonprofit organizations. The concept of hybridity is widely used to describe organizational responses to changes in governance, but the literature seldom explains how hybrids arise or what forms they take. Transaction cost and organizational design literatures offer some solutions, but lack a(More)
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