To behave effectively and flexibly in complex situations, models specified in cognitive architectures must be able to store and access large amounts of declarative knowledge. However, as research efforts employing cognitive modeling grow in scope and complexity, currently available modeling tools, languages and cognitive architectures are being pushed to their practical limits. This paper descr...

The evaluation of an AGI system can take many forms. There is a long tradition in Artificial Intelligence (AI) of competitions focused on key challenges. A similar, but less celebrated trend has emerged in computational cognitive modeling, that of model comparison. As with AI competitions, model comparisons invite the development of different computational cognitive models on a well-defined tas...

objective: diabetes mellitus (dm) is a common metabolic. one of the unknown complications of dm is cognitive disorders. different types of cognitive impairment caused by dm may affect the quality of life, self-management of diabetes, and glycosylated hemoglobin. this study aimed to determine the prevalence of cognitive impairment and its relationship with glycosylated hemoglobin (hba1c), diabet...

Cognitive architectures—task-general theories of the structure and function of the complete cognitive system—are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell (1990) was aware of this criticism and argued that architectures should be viewed not as theo...

Cognitive architectures provide a definition of an abstract machine to support programming of cognitive models and intelligent systems. The point of the abstract machine is to provide the most useful set of processes and representations for developing such models, and the machine usually comes hand in hand with a programming language. However, most cognitive architectural languages are specifie...

It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell's own c...

A common feature of many cognitive architectures is a central executive control with a 50-millisecond cycle time. This system determines which action to perform next, based on the current context. We present the first model of this system using spiking neurons. Given the constraints of wellestablished neural time constants, a cycle time of 46.6 milliseconds emerges from our model. This assumes ...

Introduction and abstract ˆ This short paper is offered as a foil to those produced by real thinkers about emotions.1 It is also a chance for me to think about something new, for I haven't studied emotions before, although I have spent considerable time thinking about cognitive architectures. We will find that emotions will be and must be incorporated into architectures for cognition, that both...

We are implementing ADAPT, a cognitive architecture for a Pioneer mobile robot, to give the robot the full range of cognitive abilities including perception, use of natural language, learning and the ability to solve complex problems. Our perspective is that an architecture based on a unified theory of robot cognition has the best chance of attaining human-level performance. Existing work in co...

Map-like representations are frequently invoked as an alternative type of representational vehicle to a language of thought. This view presupposes that map-systems and languages form legitimate natural kinds of cognitive representational systems. I argue that they do not, because the collections of features that might be taken as characteristic of maps or languages do not themselves provide sci...