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We model the utility company consumer interaction as a reverse Stackelberg game and present an iterative algorithm to design incentives for consumers while estimating their utility functions.
In a mixed logit model, the utility function is formulated as U_{it}^ = {user2{x}}_{it}varvec{beta}+ {user2{z}}_{it}varvec{gamma}_{i} + varepsilon_{it}.
In the nested logit model, the utility is expressed as U_{rm m} = W_{k} + Y_{rm m} + varepsilon_{rm m} (15) V_{m} = W_{k} + Y_{m}.
In this model, the utility network is composed of utility lines, straight line segments that are spatially constructed by connecting ending points, or utility vertices.
Since we consider the discrete energy model, the utility also takes value from a finite set {u 0,u 1,…,u N }.
In the game theoretic model, the utility measures of the system need to incorporate these two parameters into a reasonable fashion.
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This models the utility of snobs as negative and the linear function of the user base size.
So it is with simulation models: the utility of a model depends in part on assumptions made during model implementation as a simulator, and it behoves modellers to reveal, document and test such assumptions.
Although the system using the immortalised human OSE cell lines would serve as relevant models, the utility of the existing cell lines is limited by their accumulation of chromosomal instability.
This subunit simplicity in the fly model exemplifies the utility of Drosophila as a model to understand integrin function in developmental processes and cell-ECM interactions.
In order to control a utility boiler, an identified model of the utility boiler is considered.
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