In this paper, we describe an extension of the theory of shortterm memory decay for the ACT-R cognitive architecture. By including a short-term decay for elements recently cleared from active memory, we have extended the functionality of spreading activation as a source of implicit contextual information for the model. In ACT-R models of serial memory and decision-making, contextual information...

We aim to disentangle the relative impact of (i) cognitive ability and (ii) education on health and mortality using a structural equation model suggested by Conti et al. (2010). We extend their model by allowing for a duration dependent variable (mortality), and an ordinal educational variable. Data come from a Dutch cohort born between 1937 and 1941, including detailed measures of cognitive ab...

Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model from event-based data. Existing techniques try to generate a complete process model from the data acquired. However, unless this model is the ultimate goal of mining, such a model is not always required. Instead, a good visual...

This chapter deals with advanced concepts for the configuration and management of business process variants. Typically, for a particular business process, different variants exist. Each of them constitutes an adjustment of a master process (e.g., a reference process) to specific requirements building the process context. Contemporary business process management tools do not adequately support t...

To cognize is to categorize revisited: Category Theory is where Mathematics meets Biology This paper claims for a shift towards " the formal sciences " in the cognitive sciences. In order to explain the phenomenon of cognition, including aspects such as learning and intelligence, it is necessary to explore the concepts and methodologies offered by the formal sciences. In particular, category th...

Existing theories of behaviour change in psychology and behavioural economics rely mostly on changing cognitions and incentives as a route to altering behavioural responses. We propose a more general reflective-automatic model (RAM), which postulates that, in addition to cognitive change, interventions can also rely exclusively on contextual change as an alternative route to behaviour change. R...

The International Conference on Cognitive Modeling (ICCM) is the premier international conference for research on computational models and computation-based theories of human behaviour. Since its inception in 1996, ICCM has developed to become a leading forum for presenting, discussing, and evaluating the complete spectrum of cognitive models, including connectionist, symbolic, and Bayesian mod...

Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been incorporated in studies based on cognitive agents and robots. In this paper we present a new model of symbol grounding transfer in cognitive robots. Language learning simulations demonstrate that robots are able to acqui...

This article describes a general-purpose programmable substrate designed to allow cognitive modeling systems to interact with off-the-shelf interactive applications. The substrate, called VisMap, improves on conventional approaches, in which a cognitive model interacts with a hand-constructed abstraction, an artificial simulation, or an interface tailored specifically to a modeling system. VisM...

This paper investigates a hybrid methodology that combines fuzzy logic and neural networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control Systems. A mathematical description of Fuzzy Cognitive Maps (FCM) will be presented and new construction methods will be extensively examined. A Fuzzy Cognitive Map will be developed to model and control a process example and the...