عنوان

Network organization paradigm

Number

TL49219

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Network organization paradigm

General Material Designation

[Thesis]

First Statement of Responsibility

Saad Alqithami

Subsequent Statement of Responsibility

Hexmoor, Henry

Name of Publisher, Distributor, etc.

Southern Illinois University at Carbondale

Date of Publication, Distribution, etc.

2016

Specific Material Designation and Extent of Item

183

Text of Note

Committee members: Che, Dunren; Hou, Wen-Chi; Liu, Echu; Rendleman, C. Matthew; Sayeh, Mohammad

Text of Note

Place of publication: United States, Ann Arbor; ISBN=978-1-369-60972-1

Dissertation or thesis details and type of degree

Ph.D.

Discipline of degree

Computer Science

Body granting the degree

Southern Illinois University at Carbondale

Text preceding or following the note

2016

Text of Note

In a complex adaptive system, diverse agents perform various actions without adherence to a predefined structure. The achievement of collaborative actions will be the result of continual interactions among them that shape a dynamic network. Agents may form an ad hoc organization based on the dynamic network of interactions for the purpose of achieving a long-term objective, which we termed a Network Organization (NO). Fervent and agile communication on social networking sites provides opportunities for potential issues to trigger individuals into individual actions as well as the attraction and mobilization of like-minded individuals into an NO that is both physically and virtually emergent. Examples are the rapid pace of Arab Spring proliferation and the diffusion rate of the Occupy Movement. We are motivated by a spontaneously formed NO as well as the quality of plasticity that enables the organization to change rapidly to describe an NO. Thus, we present a paradigm that serves as a reference model for organizations of socially networked individuals. This paradigm suggests modular components that can be combined to form an ad hoc network organization of agents. We touch on how this model accounts for external change in an environment through internal adjustment.

Social structure; Artificial intelligence; Computer science

Subject Term

Social sciences;Applied sciences;Cognitive models;Complex networks;Computational social behaviors;Open multi-agent systems;Organization theory

Brogan, Allison

Hexmoor, Henry

Subdivision

Computer Science

Southern Illinois University at Carbondale

Call Number

1870786445; 10241594

Electronic name

p

[Thesis]

276903

a

Y