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  5. Future reasoning machines : mind and body
 
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Future reasoning machines : mind and body

Author(s)
Duffy, Brian R.  
O'Hare, G. M. P. (Greg M. P.)  
Bradley, John F.  
Martin, A. (Alan)  
Schoen, Bianca  
Uri
http://hdl.handle.net/10197/4397
Date Issued
2005-04
Date Available
2013-07-01T11:34:47Z
Abstract
Purpose – In investing energy in developing reasoning machines of the future, one must abstract away from the specific solutions to specific problems and ask what are the fundamental research questions that should be addressed. This paper aims to revisit some fundamental perspectives and promote new approaches to reasoning machines and their associated form and function.

Design/methodology/approach – Core aspects are discussed, namely the one-mind-many-bodies metaphor as introduced in the agent Chameleon work. Within this metaphor the agent's embodiment form may take many guises with the artificial mind or agent potentially exhibiting a nomadic existence opportunistically migrating between a myriad of instantiated embodiments. The paper animates these concepts with reference to two case studies.

Findings – The two case studies illustrate how a machine can have fundamentally different capabilities than a human which allows us to exploit, rather than be constrained, by these important differences.

Originality/value – Aids in understanding some of the fundamental research questions of reasoning machines that should be addressed.
Type of Material
Journal Article
Publisher
Emerald
Journal
Kybernetes
Volume
34
Issue
9-10
Start Page
1404
End Page
1420
Copyright (Published Version)
2005 Emerald Group Publishing Limited
Subjects

Cybernetics

Philosophical concept...

Robotics

Human machine interac...

Agent systems

Anthropomorphism

DOI
10.1108/03684920510614731
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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P24-Duffy,O'Hare,Martin,Bradley,Schon-04.pdf

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290.21 KB

Format

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Checksum (MD5)

d30cc92061f81770b4a6ae9ad76241df

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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