Refinement: a rigorous description of autonomous adaptive agents

Refinement: a rigorous description of autonomous adaptive agents Purpose – The purpose of this paper is to develop a theoretical framework to empirically test for cognitive behaviour in autonomous adaptive agents. Design/methodology/approach – This project proposes a theoretical framework, or design parameters, inspired by empirically observed phenomena, cognitive behaviours, and thermodynamics. Success of the framework is measured by its capacity to implement, not just a model of select attributes of cognition, but to implement the foundational physical nature of cognition of which all observed behaviours are based. Findings – A rigorous mathematical framework, employing only information theory and conventional physics, is hypothesized to empirically measure for cognitive behaviours. Research limitations/implications – Empirical studies will be conducted on synthetic agents using the theoretical framework described herein to demonstrate whether or not cognitive behaviours have been achieved. Originality/value – This paper proposes an alternative form of information processing inspired by evolved organisms, distinct from Turing equivalent machines, able to augment existing human and digital systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Refinement: a rigorous description of autonomous adaptive agents

Kybernetes, Volume 42 (9/10): 12 – Oct 4, 2013

Loading next page...
 
/lp/emerald-publishing/refinement-a-rigorous-description-of-autonomous-adaptive-agents-FEqbFPB5L0
Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/K-10-2012-0065
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to develop a theoretical framework to empirically test for cognitive behaviour in autonomous adaptive agents. Design/methodology/approach – This project proposes a theoretical framework, or design parameters, inspired by empirically observed phenomena, cognitive behaviours, and thermodynamics. Success of the framework is measured by its capacity to implement, not just a model of select attributes of cognition, but to implement the foundational physical nature of cognition of which all observed behaviours are based. Findings – A rigorous mathematical framework, employing only information theory and conventional physics, is hypothesized to empirically measure for cognitive behaviours. Research limitations/implications – Empirical studies will be conducted on synthetic agents using the theoretical framework described herein to demonstrate whether or not cognitive behaviours have been achieved. Originality/value – This paper proposes an alternative form of information processing inspired by evolved organisms, distinct from Turing equivalent machines, able to augment existing human and digital systems.

Journal

KybernetesEmerald Publishing

Published: Oct 4, 2013

Keywords: Cognition; Artificial intelligence; Information theory; AGI; Alternative computing; Reservoir computing; Cyberdization; Singularity

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off