This article addresses issues in developing cognitive architectures—generic computational models of cognition. Cognitive architectures are believed to be essential in advancing understanding of the mind, and therefore, developing cognitive architectures is an extremely important enterprise in cognitive science. The article proposes a set of essential desiderata for developing cognitive architec...

It would extend the world that cognitive models can see if models could interact based on an interface language. We introduce a system designed to allow cognitive models to interact with any display written in Tcl/Tk, a common interface creation language. This approach can be viewed as extending cognitive architectures to include eyes and hands that exist in the world of Tcl/Tk. This system is ...

John R. Anderson is an international leader in the computational representation and simulation of human cognition. He is credited as having developed the first ‘‘cognitive architecture’’—a computational framework for specifying both the abilities and limitations of human behavior. Anderson has also made fundamental contributions in applying cognitive architectures to practical problems, most no...

This article addresses the division of memory systems in relation to an overall cognitive architecture. As understanding the architecture is essential to understanding the mind, developing computational cognitive architectures is an important enterprise in computational psychology (computational cognitive modeling). The article proposes a set of hypotheses concerning memory systems from the sta...

Toward a Comprehensive Theory of the Mind Ron Sun Abstract This chapter presents a hybrid cognitive architecture CLARION, which is significantly different from most existing cognitive architectures in several important respects. CLARION is hybrid in that it (a) combines connectionist and symbolic representations, (b) combines implicit and explicit psychological processes, and (c) combines cogni...

Cognitive Architectures are theories of cognition that try to capture the essential representations and mechanisms that underlie cognition. Research in cognitive architectures has gradually moved from a focus on the functional capabilities of architectures to ability to model the details of human behavior, and, more recently, brain activity. Although there are many different architectures, they...

An intelligent robot would seem to be an obvious place to implement a cognitive architecture, yet most robotics applications generally have complex software systems that bear little resemblance to cognitive systems. Furthermore, architectures are usually heavily engineered for specific applications. In this paper, we discuss why general architectures that include deliberation and learning are r...

As cognitive architectures become ever more ambitious in the range of phenomena they are to assist in producing and modeling, there is increasing pressure for diversity in the mechanisms they embody. Yet uniformity remains critical for both elegance and extensibility. Here, the search for uniformity is continued, but shifted downwards in the cognitive hierarchy to the implementation level. Fact...

Our previous research demonstrated how a cognitive architecture can inform the design of instructions. This abstract describes continuing research into instructional representations in both human instruction and cognitive architectures. In our past study (Taatgen et. al, submitted), two different forms of instructions were devised. These were dubbed “list-style” and “operator-style.” As the nam...

Semantic memory stores a person's general knowledge about the world and plays an important functional role in generating intelligent behaviors. Semantic memory has been an active research field in psychology and is implemented in cognitive architectures such as ACT-R [1] to model various related phenomena in human. However, functionally-based cognitive architectures, such as Soar [2], have not ...