The great variety of new (Post-WIMP) interaction styles make them difficult to evaluate and compare. We propose a new evaluation method for them, Knowledge-Based Usability Evaluation (KBUE), that is based on similar ideas to those that drive cognitive architectures, such as ACT-R and Soar. We present KBUE as a way to formally specify the knowledge in the environment and in the user’s head, and ...

The goal of the current research was to design and implement a system able to extract high-level representations of 3D building models for the purpose of developing cognitive models. We present an intermediate representation scheme that supports modeling at different levels of detail. A cognitive model could easily use our representation scheme to perceive and navigate a 3D building. The overal...

Since the early nineties, interest has been growing in different facets of cognitive architectures and, inspired by advances in AI tools and methodologies, competing proposals have been put forward by various research communities. This gives the task of evaluating the various architectures importance. This paper outlines our proposals for the design and running of a Cognitive Architectures Comp...

In cognitive radio networks (CRNs), cognitive radio (CR) nodes adaptively access the spectrum aiming to maximize the utilization of the scarce resource. Crucial to the successful deployment of CRNs, security issues have begun to receive research interests recently. This article surveys the research advances in CRNs. First, the fundamentals of CRNs including the basic components (i.e., character...

The current paper explores the possibilities of an improvement of the interaction of an ACT-R actor with its environment including other actors. This is done in the framework of a project aiming at a multi-actor simulation environment based on the ACT-R architecture. Two objections against traditional cognitive architectures like Soar and ACT-R, namely the lack of physical grounding and the lac...

Cognitive architectures should be designed with learning performance as a central goal. A critical feature of intelligence is the ability to apply the knowledge learned in one context to a new context. A cognitive agent is expected to have a lifetime, in which it has to learn to solve several different types of tasks in its environment. In such a situation, the agent should become increasingly ...

Most proposals of cognitive architectures in cognitive science and accounts of brain processes in neuroscience construe the mind/brain as reactive: processing is initiated by a stimulus and terminates in a response to it. But there is growing evidence that brains are endogenously active: oscillations in electrochemical activity at multiple frequencies are ongoing in the brain even in the absenc...

Cognitive radio is based on Software Defined Radio (SDR) technology. The commercial success of smart radio applications and cognitive radio networks will be very dependent on cost, performance, and power consumption of SDR hardware platforms. SDR hardware is now available, but many issues have yet to be studied. In this chapter, the authors detail the constraints imposed by recent radio protoco...

Background: Cognitive theories and research have focused on the relationship between emotions, particularly anxiety, and the positive symptoms of psychosis. The aim of this study, based on Beckchr('39')s cognitive theory, was to compare dysfunctional attitudes and cognitive insight between patients with anxiety disorders and those with delusion. Methods: The study sample consisted of 90 partic...

Cognitive architectures are computational frameworks that can be used to develop computational models of human cognitive processes (Langley et al., 2009; Taatgen & Anderson, 2010; Thagard, 2012). Cognitive architectures have been useful in terms of advancing our understanding of human cognition in specific task environments, and they have also been used to support the development of a variety o...