We introduce a cognitively inspired novel binary image representation and utilize it for real-time operating computer vision core, which is capable of simultaneously detecting a specific object in an image, classifying an image region provided by an algorithm such as motion detection, and tracking multiple objects in a video. In this framework, hidden layer representations of binary receptive f...

The aim of this paper is to argue that action-guiding vision is not cognitively impenetrable and arguments that suggest otherwise rely on an unjustified identification between actionguiding vision and dorsal vision – a functional and an anatomical way of describing the mind. The examination of these arguments show the importance of making a distinction between the functional and the anatomical ...

Within the Knowledge representation community, in general, an ontology is considered as a formal specification of a shared conceptualization. In this sense, ontologies would be constituted of concepts and could be understood as an approach of representing knowledge. In general, ontologies represent concepts in a logical way, adopting the so-called classical theory of representation. Due to this...

This paper describes a cognitively-oriented architecture that facilitates the development of expertise. Based on knowledge about human decision making, it integrates multiple representations, multiple decision-making rationales, and multiple learning methods to support the construction of intelligent systems. A constraint solver implemented within the architecture engineers a problem-solving pa...

CoPe_it! is an innovative Web-based tool that complies with collaborative practices to provide members of communities with the appropriate means to manage individual and collective knowledge during a sense-making and/or decision-making session. In this article, we demonstrate its applicability in tackling cognitively-complex collaboration settings, which are characterized by big volumes of inte...

In this study we develop pronunciation distances based on naive discriminative learning (NDL). Measures of pronunciation distance are used in several subfields of linguistics, including psycholinguistics, dialectology and typology. In contrast to the commonly used Levenshtein algorithm, NDL is grounded in cognitive theory of competitive reinforcement learning and is able to generate asymmetrica...

BACKGROUND Accurate assessments of pain help healthcare professionals to identify its source and manage it appropriately. Pain in cognitively impaired older adults is difficult to assess and this can result in poor management and outcomes. In response to the vulnerability of this patient group, researchers have produced a variety of tools for pain assessment in cognitively impaired older adults...

Introduction A major challenge in designing technology for users with cognitive impairments is achieving generalizable results. By design, controlled experiments—the gold standard of evaluation in HCI research—remove individual differences through statistical means. While this is appropriate in many situations, when working with special populations, individual differences are often very pronoun...