The Tower of London (ToL) is a transformation task extensively used and well-established as a neuropsychological diagnostic tool for assessing human planning ability in clinical and research contexts. Behavioral experiments have recently shown that planning in the ToL is substantially influenced by structural task parameters. This work presents an ACT-R model of the ToL that explains structural...

The goal of our article is to provide a transparent, robust, and computationally feasible statistical approach for testing in the context of scalar-on-function linear regression models. Assuming linearity between response and predictors, we are interested in testing for the necessity of functional effects. Our methods are motivated by and applied to a large longitudinal study involving diffusio...

When it comes to decision making, the dominant view suggests that engaging in a detailed analytical thought process is more beneficial than deciding based on one’s feelings. However, there seems to be a tradeoff, as the complexity and amount of elements on which to base the decision increases, decisions based on affect seem to be more accurate than decisions based on a thorough analytical proce...

The Query/View/Transformation Relations (QVT-R) standard for bidirectional model transformation is notorious for its underspecified semantics. When restricted to transformations between pairs of models, most of the ambiguities and omissions have been addressed in recent work. Nevertheless, the application of the QVT-R language is not restricted to that scenario, and similar issues remain unexpl...

ACT-R (Anderson, Bothell, Byrne, Douglass, Lebiere & Qin, 2004) is a cognitive theory and simulation system for developing cognitive models. It assumes cognition emerges through the interaction of a procedural memory of productions with a declarative memory of chunks and independent modules for external perception and actions. Since its release in 1993, ACT-R has supported the development of ov...

Recent advances in latent space and related random effects models hold much promise for representing network data. The inherent dependency between ties in a network make modeling data of this type difficult. In this paper we consider a recently developed latent space model that is particularly appropriate for the visualization of networks. We suggest a new estimator of the latent positions and ...

September 4, 2009 Version 3.1-94 Date 2009-09-02 Priority recommended Title Linear and Nonlinear Mixed Effects Models Author Jose Pinheiro (S version), Douglas Bates (up to 2007), Saikat DebRoy (up to 2002), Deepayan Sarkar (up to 2005), the R Core team. Maintainer R-core <R-core@R-p...

We investigate how cognitive capacity limits the number of group relations that a person can maintain. The simulation experiment’s results using ACT-R and its memory equations replicated an effect similar to that of Dunbar’s (1998) number, or the average total number of group ties capable of being supported in memory. In our study, we also examined the influences of two spatial factors (navigat...

Periods of relatively stable, rule-like behavior alternated with short transition periods characterize cognitive development on reasoning tasks like the balance scale task. Each transition gives rise to an improvement in behavior, until a phase is reached in which performance is flawless or improvement is not worthwhile given the necessary extra effort. Several computational models have been de...

We investigate the model checking problem for branching time logics and Basic Parallel Processes. We show that the problem is undecidable for the logic 8L(O; F; U) (equivalent to CTL) in the usual interleaving semantics, but decidable in a standard partial order interpretation.