This paper focus several stability issues regarding the modeling of the dynamics of qualitative real world systems, and the ability of Fuzzy Cognitive Maps and Rule -Based Fuzzy Cognitive Maps to provide a faithful modeling in what concerns the stability properties of those systems. It also introduces the concept of Intrinsic Stability as a necessary property of qualitative system dynamics mode...

This article presents an overview of a relatively recent cognitive architecture, and its internal control structures, that is, its motivational and metacognitive mechanisms. The chapter starts with a look at some general ideas underlying this cognitive architecture and the relevance of these ideas to cognitive modeling of agents. It then presents a sketch of some details of the architecture and...

Cognitive modeling is the creation of computer-based processes that mimic human problem-solving and task execution using existing cognitive theories. Cognitive modeling remains a labor-intensive and error prone activity with little theoretical and tool support. In this paper, we propose an approach to capturing specifications for cognitive models in an incremental and modular way. We use patter...

EDI control design is ill-structured and demands consideration of the complex causal relationships among various components of the controls, which may be broadly classi®ed into formal, informal, and automated types. Each of these can, in turn, be categorized as internal or external. However, it is dif®cult even for EDI experts to predict the causal effects of one control on another. In order to...

There is a growing awareness amongst conceptual modellers that their tools (languages and methodologies) are in need of theoretical elucidation and foundation. used in a more or less intuitive und unreflected way. Furthermore, the design and maintenance of large scale information systems presupposes well-understood and reusable top-level ontologies. The tutorial is intended for researchers inte...

Understanding the interaction between emotion and cognitive processes is important for developing architectures for general intelligence, and vital for the fields of human social and behavioral modeling, game intelligence, and humancomputer interaction. However, relatively little work in AI has been done on emotion in intelligent architectures, particularly on the effect of emotions on cognitiv...

Usability evaluation has long been recognized as an indispensable part of the development of interactive software. Evaluation can still be a difficult and laborintensive task with conventional tools and user studies, however. Results can vary with the knowledge and experience of the evaluator and with the subjects. We describe an approach to evaluation, based on cognitive modeling, that will al...

With the increased utilization of cognitive models for designing user interfaces several disciplines started to contribute to acquiring and representing knowledge about users, artifacts, and tasks. Although a wealth of studies already exists on modeling mental processes, and although the goals of cognitive engineering have become quite clear over the last decade, essential epistemological and m...

The gold standard for cognitive science is transdisciplinary cognitive modeling of human behavior evaluated by quantitative comparisons with experiments involving human participants. However, this restrictive standard excludes much work in the history of cognitive science, and we argue sticking to this strict definition would impede future work in the field. In this paper, we examine conception...