نتایج جستجو برای: r model

تعداد نتایج: 2472078  

2004
Dario D. Salvucci Yelena Kushleyeva Frank J. Lee

While cognitive models of complex tasks have begun to incorporate increasingly sophisticated models of human multitasking, most models have utilized customized executives (Kieras et al., 2000) that fine-tune specific multitasking mechanisms for particular applications. This paper proposes a general executive for multitasking that facilitates the integration of separate task models and subsequen...

2015
Joachim Vandekerckhove

We present the RWiener package that provides R functions for the Wiener diffusion model. The core of the package are the four distribution functions dwiener, pwiener, qwiener and rwiener, which use up-to-date methods, implemented in C, and provide fast and accurate computation of the density, distribution, and quantile function, as well as a random number generator for the Wiener diffusion mode...

2010
Wes McKinney

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models. We will discuss specific design issues encountered in the course of developing pandas with...

2013
Markus Kalisch Martin Mächler Diego Colombo Marloes H. Maathuis Peter Bühlmann

The pcalg package for R (R Development Core Team (2010)) can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational data. In this document, we give a brief overview of the methodology, and demonstrate the package’s functionality in both toy examples and applications.

Journal: :Cognitive Systems Research 2002
Marsha C. Lovett

The Stroop effect has been studied for more than sixty years, and yet it still defies a complete theoretical account. The model presented here offers a new approach that integrates several explanations of the Stroop phenomenon into a hybrid model. Because this model is built within the ACT-R cognitive architecture (Anderson & Lebiere, 1998), it applies a generic, pre-specified set of mechanisms...

Journal: :I. J. Artificial Intelligence in Education 2006
Antonija Mitrovic Stellan Ohlsson

Research on intelligent tutoring systems (ITS) has produced many systems, but only a handful of design principles. From its start in the late 1970s, researchers have recognized that design principles should ideally be derived from psychological insights into the cognitive processes underlying the acquisition of cognitive skills, but attempts to base design philosophies on psychological principl...

2011
Robert H. Smith

For a large class of R+ valued, continuous local martingales (Mt t ≥ 0), with M0 = 1 and M∞ = 0, the put quantity : ΠM(K, t) = E ( (K −Mt) ) turns out to be the distribution function in both variables K and t, for K ≤ 1 and t ≥ 0, of a probability γM on [0, 1]× [0,∞[. In this paper, the first in a series of three, we discuss in detail the case where Mt = Et := exp ( Bt − t 2 ) , for (Bt, t ≥ 0)...

Journal: :Cognitive Systems Research 2013
Bruno Emond Gilles Comeau

In the classical music tradition, knowing how to read music is an essential skill and is seen as a fundamental component to develop when learning to play the piano. This research’s focus is to study the possible impact of the different teaching approach on the acquisition of initial reading skills. By using cognitive modeling, we are hoping to observe through computer simulation the problem sol...

2010
Jacolien van Rij Hedderik van Rijn Petra Hendriks

Referring expressions are used to describe a person, object or event. Different referring expressions can be used to describe the same person or object. For example, to describe a specific person, one could use a full noun phrase (NP) such as the pirate, or a pronoun, such as he. However, in certain discourse contexts using a pronoun would lead to an incorrect interpretation for the listener. A...

2016
Jason S. Hartford James R. Wright Kevin Leyton-Brown

Predicting the behavior of human participants in strategic settings is an important problem in many domains. Most existing work either assumes that participants are perfectly rational, or attempts to directly model each participant’s cognitive processes based on insights from cognitive psychology and experimental economics. In this work, we present an alternative, a deep learning approach that ...

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