This paper considers random games, in which the actual game being played | its player set, the action spaces of the involved players, and their preferences | is determined by a stochastic state of nature. To capture the uncertainty at the planning stage whether or not a certain action choice is feasible, maximum likelihood equilibria are introduced: strategy pro ̄les that lead to equilibrium pla...

This paper explores the relationship between explicit and predictive models of incremental speech understanding in a dialogue system that supports a finite set of user utterance meanings. We present a method that enables the approximation of explicit understanding using information implicit in a predictive understanding model for the same domain. We show promising performance for this method in...

In order to assess the influence of energy reduction initiatives, to determine the expected annual cost, to calculate life cycle cost, emission impact, etc. it is crucial to be able to assess the energy consumption reasonably accurate. The present work undertakes a theoretical and empirical study of the uncertainty of energy consumption assessment of domestic buildings. The calculated energy co...

This paper proposes and evaluates a descriptive multiattribute choice model based upon the notion of acceptability developed in the stochastic multicriteria acceptability analysis (SMAA) methods. The acceptability index is simply the relative proportion of all possible preference structures that support the selection of a particular alternative, and is related to a model of choice in which attr...

In this paper we explore the correlation between the sound of words and their meaning, by testing if the polarity (‘good guy’ or ‘bad guy’) of a character’s role in a work of fiction can be predicted by the name of the character in the absence of any other context. Our approach is based on phonological and other features proposed in prior theoretical studies of fictional names. These features a...

Enterprise Modelling (EM) tools are an important part of an EM application project. Continuous evolvement of modelling methods therefore requires efficient EM tool support. As a contribution to this, we outline EM itself, and describe possible sources for gathering the requirements for an EM tool-set. A brief outline of a set of requirements is given with respect to possible strategies for meet...

Firstly, the thesis analyses the demand gap of enterprise knowledge. Besides, it gives the definition, its features and system structure of the enterprise knowledge network. And then, on the basis of enterprise knowledge management process support model in Knowledge network, this thesis study support strategies of knowledge network for enterprise knowledge management process.

This chapter overviews the combination of different data sources and techniques for improving functional prediction. Key concepts, requirements and approaches are introduced. It discusses two main strategies: a) Integrative data analysis and visualisation approaches with an emphasis on the processing of multiple data types or resources; and b) integrative data analysis and visualisation approac...

We present a method f o r continuous database marker-ing that identifies target customers for a number of marketing offers using predictive models. The algorithm then selects the appropriate offer f o r the cnstomer. Experi-mentol design principles are encapsulated to capture more information that will be used to monitor and refine the predictive models. The updated predictive models are then u...

The article presents a new concept for the variability measure of a set of signals. It is used in the context of predictive models aggregation and it aims at identification of common hidden components into constructive and destructive ones. The validity of the concept is confirmed by the practical experiment with the energy load prediction from Polish market.