If a theory of concept composition aspires to psychological plausibility, it may first need to address several preliminary issues associated with naturally occurring human concepts: content variability, multiple representational forms, and pragmatic constraints. Not only do these issues constitute a significant challenge for explaining individual concepts, they pose an even more formidable chal...

How do we know what people perceive in a diagram, picture, or dynamic visual interface? What users take from a visualisation may not be the same as what designers intended by it. Cognitive Discourse Analysis (CODA) is a methodology that helps identifying the perceivers' thoughts. Users are asked to speak out lout what they're thinking; their language is transcribed, and analysed in depth. Besid...

Malware reverse-engineering is an important type of analysis in cybersecurity. Rapidly identifying the tasks that a piece of malware is designed to perform is an important part of reverse engineering that is generally manually performed as it relies heavily on human intuition This paper describes how the use of cognitively-inspired inference can assist in automating some of malware task identif...

People suffering from memory impairments experience decreased concentration, with difficulty in recalling and thinking. Inhabitants in a smart home are surrounded by multiple sensors and the sensor data collected provide information about the inhabitant’s interaction with the environment. Sensor data can be used to monitor the cognitive disabilities of the person by studying their behaviour in ...

This paper explores cognitively realistic social simulations by deploying the CLARION cognitive architecture in a simple organizational simulation, which involves the interaction of multiple cognitive agents. It argues for an integration of the two separate strands of research: cognitive modeling and social simulation. Such an integration could, on the one hand, enhance the accuracy of social s...