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Autonomy Autonomy

Autonomy - PowerPoint Presentation

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Autonomy - PPT Presentation

Autonomy Ancient G reek autonomy one who gives oneself their own law autonomy I ndependence  or freedom as of the  will  or  ones actions   the autonomy  of the individual ID: 527054

systems autonomy task autonomous autonomy systems autonomous task tasks learning system human perform operation environment fully

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Slide1

AutonomySlide2

Autonomy

Ancient

G

reek:

autonomy = „one who gives oneself their own law“

au·ton·o·my:

I

ndependence

 or freedom, as of the 

will

 or 

one's actions:

 

the autonomy

 of the individual

.

The

 condition of being 

autonomous

;  self-government, or 

the right

 of 

self-government

; independenceSlide3

Types of autonomy

Autonomy of environment

Social autonomy

Operational autonomy / autonomy of control

Goal autonomySlide4

Why is autonomy desirable?

Same

reasons as for AGI

Reduces or eliminates human control and intervention

Less operational cost

Highly autonomous systems more reusable

Building

learning, flexible, self-adaptive systems that can operate without complete

pre-specification of tasks

Central feature of human intelligenceSlide5

Autonomy

Task fully specified?

Task only focused towards external environment?

Task involves learning?

Autonomy is closely related to intelligence

Learning to perform partially specified or unspecified tasks requires intelligenceSlide6

Autonomy

Most current “autonomous” systems are built to operate in conditions more or less fully described a priori, which is insufficient for achieving highly autonomous systems that adapt efficiently to unforeseen situations.

Fully specified operation

Operating contexts must comply with specification

Systems not meant to change

E.

Nivel

& K. R. Thórisson: Self-Programming: Operationalizing Autonomy

Behaviorally autonomous systems

Change as desirable and controllable phenomenon

Structural

autonomy

Automatic adaptation

Adaptation is used here in a strong sense as the ability of a machine not only to maintain but also to improve its utility function and so, in partially specified conditions with limited resources (including time) and knowledge.

IKON FLUX

In our view, autonomous systems automatically perform

tasks

in some

environment

,

with

unforeseen

variations

occurring in both, through some type of automatic learning and

adaptation that

improves the system's performance with respect to its high-level goalsSlide7

Autonomy

Weak autonomy

Systems that require some degree of human control to perform target tasks

Medium autonomy

Systems that perform fully specified target tasks without human intervention

Strong autonomy

Systems generating own goals that learn to

adapt to unforeseen varations

and perform new tasks without human

control Slide8

Autonomy

Autonomy = (system S, task T, context C)

From Sanz 2000

System

S

is autonomous if it can fulfill task

T

in context

C

A

refrigerator (

SYSTEM =

”refrigerator of Alex”) is autonomous because it

can fulfill

its task (TASK = ”keep the

interior temperature at 5° C

”) in a specific context (CONTEXT = ”

Interior of

a house in Philadelphia”)Slide9

Automatic vs AutonomousSlide10

AFLUS autonomy framework

http://www.nist.gov/el/isd/ks/upload/ALFUS-BG.pdfSlide11

Autonomy Comparsion Framework for AGI systems (Thórisson & Helgason)Slide12

Autonomy dimensions

Learning

Enables system to handle novel situations and task varations

Meta-learning

System improves own operation, increasing its capacity to solve complex tasks

Realtime

Failure to keep up with the environment reduces autonomy and overall operation

May introduce artificial pauses etc.

Resource management

Autonomous operation involving multiple simultaneous cognitive processes, complex environments, limited resources and time constraints requires sophisticated management of resourcesSlide13

Evaluation of selected AGI systemsSlide14

Qualitative comparison