SOAR as a Cognitive

blabbedharborAI and Robotics

Feb 23, 2014 (3 years and 3 months ago)

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SOAR as a Cognitive
Architecture for Modeling
Driver Workload

Randall Mauldin

Goal


To have onboard computer assistance
that allows safe multi
-
tasking while
driving.


Reduction of accidents and unsafe
driving due to the distraction of
secondary tasks proves to be a cause
worth pursuing.

Introduction


Develop a Computational Cognitive
Model of the driving task to allow a
safer and more efficient driving
experience.


How?


Develop a Cognitive Process Model
(CPM) of a basic driver workload.


The C
PM

will take in to account
various

driver tasks and interpret their
demand

on cognition.


Develop computational specifications
and implement them into a Cognitive
Modeling Architecture.

Possibilities for a CPM

What is Driver Distraction?


Driver distraction lacks a precise,
scientific definition.


Defined based upon four components:
Impact, Agent, Mechanism, and Type.



Impact and Agent


“A driver is delayed in the recognition of
information necessary to safely maintain
the lateral and longitudinal control of the
vehicle (the driving task)”



“Due to some event, activity, object or
person, within or outside the vehicle”


Mechanism and Type


“That compels or tends to induce the
driver’s shifting attention away from
fundamental driving tasks”




“By compromising the driver’s auditory,
biomechanical, cognitive or visual
faculties, or combinations thereof”


SOAR


State Operator and Result


Created by John Laird, Allen Newell,
and Paul Rosenbloom at Carnegie
Mellon University in 1983.


The “state” is the situation that needs
to be solved.


The “operator” is what changes the
“state.”



SOAR

Soar’s 7 step decision cycle

SOAR

Structural model of Soar’s operation

Key Features


Capable of representing large complex
rule sets


Learns in a problem
-
solving context


New rules created for shorter
sequences (“chunking”)