ARCADIA

Mar 10, 2018

Will Bridewell

Research Scientist in Artificial Intelligence

My research interests include the relationship between attention, cognition, and intentional action.

Publications

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

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

Apophatic Science: How Computational Modeling Can Explain Consciousness

This study introduces a novel methodology for consciousness science. This method is designed to support a quantitative science of consciousness while avoiding metaphysical commitments. We discuss how this methodology applies to current and future research and address questions that others have raised.

Will Bridewell, Alistair M.C. Isaac

Attention and Consciousness in Intentional Action: Steps Toward Rich Artificial Agency

We argue that the insights offered by the literature on agency and intentional action motivate a particular kind of computational cognitive architecture and present an attention-driven cognitive system as first steps toward an architecture to support the type of agency that rich human–machine interaction will undoubtedly demand.

Paul F. Bello, Will Bridewell

Selection Enables Enhancement: an Integrated Model of Object Tracking

In computational simulations of two psychological experiments, we demonstrate that spatial competition during enhancement and temporal competition for selection can explain a range of findings on multiple-object tracking, and we argue that the interaction between selection and enhancement captured in the model is critical to understanding attention more broadly.

Andrew Lovett, Will Bridewell, Paul F. Bello

Selection and Enhancement: Modeling Attentional Capture During Visual Search

Meeting abstract presented at VSS 2019

Andrew Lovett, Will Bridewell, Paul F. Bello

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

Artificial Agency Requires Attention: The Case of Intentional Action

We claim that intentional action requires some analog of consciousness.

Paul F. Bello, Kevin O'Neill, Will Bridewell

Towards an Attention-Driven Model of Task Switching

A computational model of task switching developed within the ARCADIA framework.

Will Bridewell, Christina Wasylyshyn, Paul F. Bello

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

There Is No Agency Without Attention

The notion of an intelligent agent in AI is too coarse and in need of refinement. We suggest that the space of AI agents can be subdivided into classes, where each class is defined by an associated degree of control.

Paul F. Bello, Will Bridewell

Modeling Motion Extrapolation in Multiple-Object Tracking

Meeting abstract presented at VSS 2017

Andrew Lovett, Will Bridewell, Paul F. Bello

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

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

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

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

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