The article deals with the role and impact of advanced technologies on literary education. In the beginning, the author emphasizes fundamentally different cognitive objectives of empirical science and humanities. In the authors' opinion, the current scientification of the humanities leads to the domination of a single type of knowledge based on…

Research on spatial navigation is essential to understanding how mobile species adapt to their environments. Such research increasingly uses virtual environments (VEs) because, although VE has drawbacks, it allows for standardization of procedures, precision in measuring behaviors, ease in introducing variation, and cross-investigator…

What do we know about immersive media--virtual, augmented, mixed, and cross realities (VR, AR, MR, and XR)--and young children? So far, designers, developers, and media producers have been focusing on creating hardware, software, and content for and conducting studies with adolescents and adults--but children find these technologies incredibly…

The authors propose a general modeling framework called the general monotone model (GeMM), which allows one to model psychological phenomena that manifest as nonlinear relations in behavior data without the need for making (overly) precise assumptions about functional form. Using both simulated and real data, the authors illustrate that GeMM…

This paper argues that design fixation, in part, entails fixation at the level of meta-representation, the representation of the relation between a representation and its reference. In this paper, we present a mathematical model that mimics the idea of how fixation can occur at the meta-representation level. In this model, new abstract concepts…

Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular…

The use of self-organizing feature maps (SOFM) in models of cognitive development has frequently been associated with explanations of "critical" or "sensitive periods". By contrast, error-driven connectionist models of development have been linked with "catastrophic interference" between new knowledge and old knowledge. We introduce a set of…

Relational thinking plays a central role in human cognition. However, it is not known how children and adults acquire relational concepts and come to represent them in a form that is useful for the purposes of relational thinking (i.e., as structures that can be dynamically bound to arguments). The authors present a theory of how a psychologically…

Current models of psychological development rely heavily on connectionist models that use supervised learning. These models adapt network weights when the network output does not match the target outputs computed by some agent. The authors present a model of motor learning in which the child uses exploration to discover appropriate ways of…

The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically plausible cognitive models. In this article, we present an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic robotics is one of the new cognitive modeling approaches to…

This paper describes a computer model that simulates the way children develop the reasoning skills of transitive inference and the construction of ordered sets. The computer model begins from general operations, such as setting and removing goals, storing and retrieving information, comparing elements to find matches, reading premises, and giving…

Presents a theoretical framework and practical suggestions for incorporating games and simulation into allied health instruction. Discusses research findings that support the use of educational simulation/games as tools for higher cognitive learning and for the improvement of teaching effectiveness as measured by student achievement in the allied…

This document describes the construction/simulation software called Stella which can be used in the investigation of dynamic causal models. Topics considered are its built-in perspective of system dynamics and capabilities, its potential drawbacks, and its cognitive implications for educational applications. (JJK)

A collection of 17 biology texts and computer software produced at Beloit College (Wisconsin) by an interdisciplinary group let students conduct simulated scientific experiments that would be impossible in a laboratory and complete complex statistical analyses quickly. The programs focus on three stages of scientific research: problem posing,…

This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to…