Stigmergy within web modelling languages : positive feedback mechanisms


Autoria(s): Dipple, Aiden; Raymond, Kerry; Docherty, Michael
Data(s)

23/06/2013

Resumo

Stigmergy is a biological term originally used when discussing insect or swarm behaviour, and describes a model supporting environment-based communication separating artefacts from agents. This phenomenon is demonstrated in the behavior of ants and their food foraging supported by pheromone trails, or similarly termites and their termite nest building process. What is interesting with this mechanism is that highly organized societies are formed without an apparent central management function. We see design features in Web sites that mimic stigmergic mechanisms as part of the User Interface and we have created generalizations of these patterns. Software development and Web site development techniques have evolved significantly over the past 20 years. Recent progress in this area proposes languages to model web applications to facilitate the nuances specific to these developments. These modeling languages provide a suitable framework for building reusable components encapsulating our design patterns of stigmergy. We hypothesize that incorporating stigmergy as a separate feature of a site’s primary function will ultimately lead to enhanced user coordination.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/60326/

Relação

http://eprints.qut.edu.au/60326/1/StigmergyImplimentationWebML_submit_Italy_June_2013_CameraReady.pdf

http://www.iaria.org/conferences2013/ICIW13.html

Dipple, Aiden, Raymond, Kerry, & Docherty, Michael (2013) Stigmergy within web modelling languages : positive feedback mechanisms. In 8th International Conference on Internet and Web Applications and Services (ICIW 2013), 23-28 June 2013, Rome.

Direitos

Copyright 2013 [please consult the author]

Fonte

Computer Science; Faculty of Science and Technology

Palavras-Chave #080000 INFORMATION AND COMPUTING SCIENCES #collaboration #virtual pheromones #stigmergy
Tipo

Conference Paper