نتایج جستجو برای: macro model

تعداد نتایج: 2126898  

2013
Lukás Chrpa Mauro Vallati T. L. McCluskey Diane E. Kitchin

In Automated Planning, learning and exploiting additional knowledge within a domain model, in order to improve plan generation speed-up and increase the scope of problems solved, has attracted much research. Reformulation techniques such as those based on macro-operators or entanglements are very promising because they are to some extent domain model and planning engine independent. This paper ...

2014
Cesar Augusto Nieto Coria Luca Tesei Giuseppe Scarcella Tommaso Russo Emanuela Merelli

DISPAS is an agent-based simulator for fish stock assessment developed as a decision making support for the sustainable management of fishery. In this work we enlarge the underlying model of DISPAS allowing it to model and simulate a multi-scale scenario. We retain the currently available spatial scale, able to represent a limited average region of the sea, and we introduce a new spatial macro-...

2015
Paul Levine Diana Lima

In the aftermath of the nancial crisis, the role of monetary policy and macro-prudential regulation in promoting nancial stability is under discussion. The old debate concerning whether monetary policy should respond to credit and asset price bubbles was revived, whereas macro-prudential regulation is being assessed as an alternative macroeconomic tool to deal with nancial imbalances. The paper...

2014
Peter George Johnson Tina Balke Lars Kotthoff

A key strength of agent-based modelling is the ability to explore the upward-causation of micro-dynamics on the macro-level behaviour of a system. However, in policy contexts, it is also important to be able to represent downward-causation from the macro and mesolevels to the micro, and to represent decision-making at the macro level (i.e., by governments) in a sensible way. Though we cannot mo...

Journal: :IEEE Trans. Contr. Sys. Techn. 1999
Shih-Jung Huang Jia-Yush Yen Shui-Shong Lu

The stick-slip friction system is known to exhibit very different macro and microscopic behaviors. For large movements, the system exhibits the familiar stick-slip friction characteristics; and for very fine movements, the elastic deformation seems to prevail. While there have been tremendous efforts to understand the stick-slip friction mechanism, most people would agree that the complexity of...

2010
Yaseer A. Durrani

In this paper, a power macro-modelling technique at register transfer level (RTL) for the digital electronic systems composed of intellectual property (IP) components by using the statistical knowledge of their primary inputs/output is presented. During the power estimation procedure, the sequence of an input stream is generated by a genetic algorithm using input metrics. Then, a Monte Carlo ze...

2016
Katherine Cai Jeffrey Wilson

Longitudinal data with time-dependent covariates is not readily analyzed as there are inherent, complex correlations due to the repeated measurements on the sampling unit and the feedback process between the covariates in one time period and the response in another. A generalized method of moments (GMM) logistic regression model (Lalonde, Wilson, and Yin 2014) is one method to analyze such corr...

2007
Christine Urquhart

This second part of a two-part article establishes a model of the mediating factors that influence student information behavior concerning the electronic or digital information sources used to support learning. This part discusses the findings of the JISC User Behavior Monitoring and Evaluation Framework (1999-2004) and development of a model that includes both the individual (micro) and organi...

2007
George C J Fernandez

The effects of multicollinearity in all possible model selection of fixed effects including quadratic and cross products in the presence of random and repeated measures effects are presented here. The user-friendly SAS macro application ALLMIXED2 complements the model selection option currently available in the SAS macro applications ‘REGDIAG’ and ‘LOGISTIC’ for multiple linear and logistic reg...

2007
Zoran Bursac C. Heath Gauss D. Keith Williams David Hosmer

The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the “best” model. A decision to keep a variable in the model might be based on the clinical or statistical significance. There are several variable selection algorithms embedded in SAS PROC LOGISTIC. Those methods are mechanical and as such carry some limitations. Hosmer...

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