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This paper analyses the policy mix for urban transition by drawing on insights from studies in institutions and path dependence. It sheds new light on the role of institutions and actors in creating a policy mix for sustainable city districts, which has no ...
Markov decision processes (MDPs) are powerful tools for decision making in uncertain dynamic environments. However, the solutions of MDPs are of limited practical use because of their sensitivity to distributional model parameters, which are typically unkn ...
More research is needed is an iconic catchphrase used by scientists worldwide. Yet policy and management decisions are continually being made with variable levels of reliance on scientific knowledge. Funding agencies have provided incentives for knowledge ...
This paper considers the task of finding a target location by making a limited number of sequential observations. Each observation results from evaluating an imperfect classifier of a chosen cost and accuracy on an interval of chosen length and position. W ...
This is the first book on a new policy approach that has been widely adopted in Europe and beyond. It analyses the concept of smart specialisation and discuss the need for smart specialisation strategies, explains why the approach is new and different from ...
Purpose – The purpose of this paper is to focus on the distinction between smart specialisation and smart specialisation policy and it studies under what conditions a smart specialisation policy is necessary. Design/methodology/approach – A conceptual fram ...
Integrated transport and land use models are an increasingly used tool for evaluation of urban policy and large scale projects. Although there is a well-built theoretical background supporting the existing models, there are few exhaustive descriptions of t ...
From the point of view of public health and the environment, it can be argued that people who spontaneously walk great distances display a desirable behaviour, whereas those who drive a car without any walking in public space do not. A suggested metric can ...
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous work on Bayesian inverse reinforcement learning and allows us to obtain a pos ...
The objective of the thesis is to deepen the understanding of the interplay between ICT-enabled innovation and governance by providing evidence of the changes they are producing on governance processes and policy making mechanisms. Moreover, the thesis aim ...
