We describe the overall theory of the SOILIE model of the human imagination. In this description, we outline cognitive capacities for learning and storage, image component selection and placement, as well as analogical reasoning. The guiding theory behind SOILIE is that visual imagination is constrained by regularities in visual memories.
SGOMS is a way of scaling up GOMS models to model multi agent work in complex sociotechnical systems. In particular, it allows GOMS to handle interruptions, multi-tasking, and re-planning. West and Pronovost (2009) discussed some of the theoretical issues around building an SGOMS model in ACT-R. This paper presents work in progress for two such models.… (More)
A presentation of an Artificial Intelligence (AI) called Visuo that stores and guesses quantitative visual-spatial magnitudes (e.g., sizes of objects). In this analysis, Visuo is used to store polar (angle and distance) relationships between objects in images. It uses a database of tagged images as its memory and approximates unexperienced magnitudes by… (More)
The current paper presents two ACT-R models of a delayed match-to sample task, and performs equivalence testing against human performance data to evaluate them. Success of an episodic model which avoids interference from previously encountered visual stimuli, and implements a serial search and rehearsal strategy lends insight into how individuals may… (More)
Using a hierarchical-systems analysis, this paper supports the orthodox view of the mind. We claim that the orthodox mind – bounded by brains or bodies – is organized into various system levels, each of which is emergent from the dynamics of level below it. We see the extended mind hypothesis as borrowing terms from a high-level system of the orthodox mind… (More)