Will Bridewell
Will Bridewell
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A Novel Architectural Method for Producing Dynamic Gaze Behavior in Human-Robot Interactions
We present a novel integration between a computational framework for modeling attention-driven perception and cognition (ARCADIA) with a cognitive robotic architecture (DIARC), demonstrating how this integration can be used to drive the gaze behavior of a robotic platform.
Gordon Briggs
,
Meia Chita-Tegmark
,
Evan Krause
,
Will Bridewell
,
Paul F. Bello
,
Matthias Scheutz
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Selection, Engagement, & Enhancement: A Framework for Modeling Visual Attention
This paper presents a theoretical framework for modeling human visual attention.
Andrew Lovett
,
Will Bridewell
,
Paul F. Bello
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Attentional Capture: Modeling Automatic Mechanisms and Top-Down Control
We present a cognitive model that is able to exert limited top-down control over attentional capture, increasing the probability that task-relevant objects will be attended to and irrelevant objects will be ignored.
Andrew Lovett
,
Will Bridewell
,
Paul F. Bello
PDF
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Time-Based Resource Sharing in ARCADIA
A computational model of working memory in the complex span task implemented in the ARCADIA cognitive framework.
Kevin O'Neill
,
Will Bridewell
,
Paul F. Bello
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Goal-Directed Deployment of Attention in a Computational Model: A Study in Multiple-Object Tracking
We present a computational model exploring goal-directed deployment of attention during object tracking. Once selected, objects are tracked in parallel, but serial attention can be directed to an object that is visually crowded and in danger of being lost.
Andrew Lovett
,
Will Bridewell
,
Paul F. Bello
PDF
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A Computational Model of the Role of Attention in Subitizing and Enumeration
We present a novel computational model of enumeration in which attention unifies distinct processes of numerosity approximation, subitizing, and explicit counting.
Gordon Briggs
,
Will Bridewell
,
Paul F. Bello
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Attentive and Pre-attentive Processes in Multiple Object Tracking: A Computational Investigation
We present an account of object tracking in the ARCADIA cognitive system that treats MOT as dependent upon both pre-attentive and attention-bound processes. We show that with minimal addition this model replicates a variety of core phenomena in the MOT literature and provides an algorithmic explanation of human performance limitations.
Paul F. Bello
,
Will Bridewell
,
Christina Wasylyshyn
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Inattentional Blindness in a Coupled Perceptual–Cognitive System
We describe an attention-centric cognitive system called ARCADIA that demonstrates the orienting, filtering, and resource-skewing functions commonly attributed to attentional mechanisms.
Will Bridewell
,
Paul F. Bello
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Incremental Object Perception in an Attention-driven Cognitive Architecture
We summarize progress to date on a new cognitive architecture called ARCADIA that gives a central role to attention in both perception and cognition. We also present a model of incremental object construction and property binding in ARCADIA using the well known change blindness phenomena to illustrate the time course of object perception and its dependence on attention.
Will Bridewell
,
Paul F. Bello
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Changing Minds by Reasoning about Belief Revision: A Challenge for Cognitive Systems
We explore the representational and inferential requirements for supporting a rich notion of belief revision. More to the point, we argue that although belief revision mechanisms surely operate at the level of single agents, we must also consider the need to lift an agent’s understanding of the belief revision process to the knowledge level in order to intentionally guide other agents’ revision processes with whom it socially interacts.
Will Bridewell
,
Paul F. Bello
PDF
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