國立虎尾科技大學 |

Social Intelligence for Cognitive Radios.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Social Intelligence for Cognitive Radios./
Author:	Kaminski, Nicholas J.
Description:	1 online resource (120 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781369754469

Social Intelligence for Cognitive Radios.
Kaminski, Nicholas J.

Social Intelligence for Cognitive Radios. - 1 online resource (120 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2014.

Includes bibliographical references

This dissertation introduces the concept of an artificial society based on the use of an action based social language combined with the behavior-based approach to the construction of multi-agent systems to address the problem of developing decentralized, self-organizing networks that dynamically fit into their environment. In the course of accomplishing this, social language is defined as an efficient method for communicating coordination information among cognitive radios inspired by natural societies. This communication method connects the radios within a network in a way that allows the network to learn in a distributed holistic manner. The behavior-based approach to developing multi-agent systems from the field of robotics provides the framework for developing these learning networks. In this approach several behaviors are used to address the multiple objectives of a cognitive radio society and then combined to achieve emergent properties and behaviors. This work presents a prototype cognitive radio society. This society is implemented, using low complexity hardware, and evaluated. The work does not focus on the development of optimized techniques, but rather the complementary design of techniques and agents to create dynamic, decentralized self-organizing networks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369754469Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Social Intelligence for Cognitive Radios.
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100 1 $a Kaminski, Nicholas J. $3 1186630
245 1 0 $a Social Intelligence for Cognitive Radios.
264 0 $c 2014
300 $a 1 online resource (120 pages)
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338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Charles W. Bostian.
502 $a Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2014.
504 $a Includes bibliographical references
520 $a This dissertation introduces the concept of an artificial society based on the use of an action based social language combined with the behavior-based approach to the construction of multi-agent systems to address the problem of developing decentralized, self-organizing networks that dynamically fit into their environment. In the course of accomplishing this, social language is defined as an efficient method for communicating coordination information among cognitive radios inspired by natural societies. This communication method connects the radios within a network in a way that allows the network to learn in a distributed holistic manner. The behavior-based approach to developing multi-agent systems from the field of robotics provides the framework for developing these learning networks. In this approach several behaviors are used to address the multiple objectives of a cognitive radio society and then combined to achieve emergent properties and behaviors. This work presents a prototype cognitive radio society. This society is implemented, using low complexity hardware, and evaluated. The work does not focus on the development of optimized techniques, but rather the complementary design of techniques and agents to create dynamic, decentralized self-organizing networks.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
650 4 $a Mechanical engineering. $3 557493
650 4 $a Artificial intelligence. $3 559380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
690 $a 0464
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710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Virginia Polytechnic Institute and State University. $b Electrical and Computer Engineering. $3 1186631
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10596482 $z click for full text (PQDT)